prediction_refs.bib

@Article{Rasouli_2020_arxiv,
  title="Deep Learning for Vision-based Prediction: A Survey",
  author="Rasouli, Amir",
  journal="arXiv:2007.00095",
  year="2020"
}
@InProceedings{Wichers_2018_ICML,
    author = "Wichers, Nevan and Villegas, Ruben and Erhan, Dumitru and Lee, Honglak",
    title = "Hierarchical Long-Term Video Prediction Without Supervision",
    booktitle = "ICML",
    year = "2018"
}

@InProceedings{Villegas_2017_ICML,
    author = "Villegas, Ruben and Yang, Jimei and Zou, Yuliang and Sohn, Sungryull and Lin, Xunyu and Lee, Honglak",
    title = "Learning To Generate Long-Term Future Via Hierarchical Prediction",
    booktitle = "ICML",
    year = "2017"
}

@InProceedings{Vo_2015_ICRA,
    author = "Vo, N. N. and Bobick, A. F.",
    booktitle = "ICRA",
    title = "Augmenting Physical State Prediction Through Structured Activity Inference",
    year = "2015"
}

@InProceedings{Yao_2019_ICRA,
    author = "Yao, Y. and Xu, M. and Choi, C. and Crandall, D. J. and Atkins,  E. M. and Dariush, B.",
    booktitle = "ICRA",
    title = "Egocentric Vision-based Future Vehicle Localization for Intelligent Driving Assistance Systems",
    year = "2019"
}

@InProceedings{Yao_2019_IROS,
    author = "Yao, Y. and Xu, M. and Wang, Y. and Crandall, D. J. and Atkins, E. M.",
    booktitle = "IROS",
    title = "Unsupervised Traffic Accident Detection in First-Person Videos",
    year = "2019"
}


@InProceedings{Bai_2015_ICRA,
    author = "Bai, Haoyu and Cai, Shaojun and Ye, Nan and Hsu, David and Lee, Wee Sun",
    title = "Intention-Aware Online {POMDP} Planning For Autonomous Driving In A Crowd",
    booktitle = "ICRA",
    year = "2015"
}

@InProceedings{Zhang_2015_ICRA,
    author = "Zhang, H. and Parker, L. E.",
    booktitle = "ICRA",
    title = "Bio-Inspired Predictive Orientation Decomposition Of Skeleton Trajectories For Real-Time Human Activity Prediction",
    year = "2015"
}

@InProceedings{Arpino_2015_ICRA,
    author = "Pérez-D'Arpino, C. and Shah, J. A.",
    booktitle = "ICRA",
    title = "Fast Target Prediction Of Human Reaching Motion For Cooperative Human-Robot Manipulation Tasks Using Time Series Classification",
    year = "2015"
}

@InProceedings{Chen_2016_ICRA,
    author = "Chen, Y. F. and Liu, M. and How, J. P.",
    booktitle = "ICRA",
    title = "Augmented Dictionary Learning For Motion Prediction",
    year = "2016"
}

@InProceedings{Karasev_2016_ICRA,
    author = "Karasev, V. and Ayvaci, A. and Heisele, B. and Soatto, S.",
    booktitle = "ICRA",
    title = "Intent-Aware Long-Term Prediction Of Pedestrian Motion",
    year = "2016"
}

@InProceedings{Vasquez_2016_ICRA,
    author = "Vasquez, D.",
    booktitle = "ICRA",
    title = "Novel Planning-Based Algorithms For Human Motion Prediction",
    year = "2016"
}

@InProceedings{Zhou_2016_ICRA,
    author = "Chenghui Zhou and Balle, B. and Pineau, J.",
    booktitle = "ICRA",
    title = "Learning Time Series Models For Pedestrian Motion Prediction",
    year = "2016"
}

@InProceedings{Solaimanpour_2017_ICRA,
    author = "Solaimanpour, S. and Doshi, P.",
    booktitle = "ICRA",
    title = "A Layered {HMM} For Predicting Motion Of A Leader In Multi-Robot Settings",
    year = "2017"
}

@InProceedings{Lasota_2017_ICRA,
    author = "Lasota, P. A. and Shah, J. A.",
    booktitle = "ICRA",
    title = "A Multiple-Predictor Approach To Human Motion Prediction",
    year = "2017"
}

@InProceedings{Hoermann_2018_ICRA,
    author = "Hoermann, S. and Bach, M. and Dietmayer, K.",
    booktitle = "ICRA",
    title = "Dynamic Occupancy Grid Prediction For Urban Autonomous Driving: A Deep Learning Approach With Fully Automatic Labeling",
    year = "2018"
}

@InProceedings{Scheel_2018_ICRA,
    author = "Scheel, O. and Schwarz, L. and Navab, N. and Tombari, F.",
    booktitle = "ICRA",
    title = "Situation Assessment For Planning Lane Changes: Combining Recurrent Models And Prediction",
    year = "2018"
}

@InProceedings{Vemula_2018_ICRA,
    author = "Vemula, Anirudh and Muelling, Katharina and Oh, Jean",
    title = "Social Attention: Modeling Attention In Human Crowds",
    booktitle = "ICRA",
    year = "2018"
}

@InProceedings{Butepage_2018_ICRA,
    author = "Bütepage, J. and Kjellström, H. and Kragic, D.",
    booktitle = "ICRA",
    title = "Anticipating Many Futures: Online Human Motion Prediction And Generation For Human-Robot Interaction",
    year = "2018"
}

@InProceedings{Rudenko_2018_ICRA,
    author = "Rudenko, A. and Palmieri, L. and Arras, K. O.",
    booktitle = "ICRA",
    title = "Joint Long-Term Prediction Of Human Motion Using A Planning-Based Social Force Approach",
    year = "2018"
}

@InProceedings{Rehder_2018_ICRA,
    author = "Rehder, E. and Wirth, F. and Lauer, M. and Stiller, C.",
    booktitle = "ICRA",
    title = "Pedestrian Prediction By Planning Using Deep Neural Networks",
    year = "2018"
}

@InProceedings{Strickland_2018_ICRA,
    author = "Strickland, M. and Fainekos, G. and Amor, H. B.",
    booktitle = "ICRA",
    title = "Deep Predictive Models For Collision Risk Assessment In Autonomous Driving",
    year = "2018"
}

@InProceedings{Schydlo_2018_ICRA_2,
    author = "Schydlo, P. and Rakovic, M. and Jamone, L. and Santos-Victor, J.",
    booktitle = "ICRA",
    title = "Anticipation In Human-Robot Cooperation: A Recurrent Neural Network Approach For Multiple Action Sequences Prediction",
    year = "2018"
}

@InProceedings{Pfeiffer_2018_ICRA,
    author = "Pfeiffer, M. and Paolo, G. and Sommer, H. and Nieto, J. and Siegwart, R. and Cadena, C.",
    booktitle = "ICRA",
    title = "A Data-Driven Model For Interaction-Aware Pedestrian Motion Prediction In Object Cluttered Environments",
    year = "2018"
}

@InProceedings{Sun_2018_ICRA,
    author = "Sun, L. and Yan, Z. and Mellado, S. M. and Hanheide, M. and Duckett, T.",
    booktitle = "ICRA",
    title = "{3Dof} Pedestrian Trajectory Prediction Learned From Long-Term Autonomous Mobile Robot Deployment Data",
    year = "2018"
}

@InProceedings{Lee_2018_ICRA,
    author = "Lee, B. and Choi, J. and Baek, C. and Zhang, B.",
    booktitle = "ICRA",
    title = "Robust Human Following By Deep Bayesian Trajectory Prediction For Home Service Robots",
    year = "2018"
}

@InProceedings{Jain_2016_ICRA,
    author = "Jain, A. and Singh, A. and Koppula, H. S. and Soh, S. and Saxena, A.",
    booktitle = "ICRA",
    title = "Recurrent Neural Networks For Driver Activity Anticipation Via Sensory-Fusion Architecture",
    year = "2016"
}

@InProceedings{Dong_2019_ICRA,
    author = "Dong, C. and Chen, Y. and Dolan, J. M.",
    booktitle = "ICRA",
    title = "Interactive Trajectory Prediction For Autonomous Driving Via Recurrent Meta Induction Neural Network",
    year = "2019"
}

@InProceedings{Cui_2019_ICRA,
    author = "Cui, H. and Radosavljevic, V. and Chou, F. and Lin, T. and Nguyen, T. and Huang, T. and Schneider, J. and Djuric, N.",
    booktitle = "ICRA",
    title = "Multimodal Trajectory Predictions For Autonomous Driving Using Deep Convolutional Networks",
    year = "2019"
}

@InProceedings{Gujjar_2019_ICRA,
    author = "Gujjar, P. and Vaughan, R.",
    booktitle = "ICRA",
    title = "Classifying Pedestrian Actions In Advance Using Predicted Video Of Urban Driving Scenes",
    year = "2019"
}

@InProceedings{Saleh_2019_ICRA,
    author = "Saleh, K. and Hossny, M. and Nahavandi, S.",
    booktitle = "ICRA",
    title = "Real-Time Intent Prediction Of Pedestrians For Autonomous Ground Vehicles Via Spatio-Temporal {DenseNet}",
    year = "2019"
}

@InProceedings{Guizilini_2019_ICRA,
    author = "Guizilini, V. and Senanayake, R. and Ramos, F.",
    booktitle = "ICRA",
    title = "Dynamic Hilbert Maps: Real-Time Occupancy Predictions In Changing Environments",
    year = "2019"
}

@InProceedings{Li_2019_ICRA,
    author = "Li, J. and Ma, H. and Tomizuka, M.",
    booktitle = "ICRA",
    title = "Interaction-Aware Multi-Agent Tracking And Probabilistic Behavior Prediction Via Adversarial Learning",
    year = "2019"
}

@InProceedings{Ding_2019_ICRA,
    author = "Ding, W. and Chen, J. and Shen, S.",
    booktitle = "ICRA",
    title = "Predicting Vehicle Behaviors Over An Extended Horizon Using Behavior Interaction Network",
    year = "2019"
}

@InProceedings{Scheel_2019_ICRA,
    author = "Scheel, O. and Nagaraja, N. S. and Schwarz, L. and Navab, N. and Tombari, F.",
    booktitle = "ICRA",
    title = "Attention-Based Lane Change Prediction",
    year = "2019"
}

@InProceedings{Schreiber_2019_ICRA,
    author = "Schreiber, M. and Hoermann, S. and Dietmayer, K.",
    booktitle = "ICRA",
    title = "Long-Term Occupancy Grid Prediction Using Recurrent Neural Networks",
    year = "2019"
}

@InProceedings{Ding_2019_ICRA_2,
    author = "Ding, W. and Shen, S.",
    booktitle = "ICRA",
    title = "Online Vehicle Trajectory Prediction Using Policy Anticipation Network And Optimization-Based Context Reasoning",
    year = "2019"
}

@InProceedings{Huang_2019_ICRA,
    author = "Huang, X. and McGill, S. G. and Williams, B. C. and Fletcher, L. and Rosman, G.",
    booktitle = "ICRA",
    title = "Uncertainty-Aware Driver Trajectory Prediction At Urban Intersections",
    year = "2019"
}

@InProceedings{Shen_2019_ICRA,
    author = "Shen, T. and Luo, Z. and Zhou, L. and Deng, H. and Zhang, R. and Fang, T. and Quan, L.",
    booktitle = "ICRA",
    title = "Beyond Photometric Loss For Self-Supervised Ego-Motion Estimation",
    year = "2019"
}

@InProceedings{Wilson_2015_ICRA,
    author = "Wilson, G. N. and Ramirez-Serrano, A. and Sun, Q.",
    booktitle = "ICRA",
    title = "Vehicle State Prediction For Outdoor Autonomous High-Speed Off-Road {UGVs}",
    year = "2015"
}

@InProceedings{Baumann_2018_ICRA,
    author = "Baumann, U. and Guiser, C. and Herman, M. and Zollner, J. M.",
    booktitle = "ICRA",
    title = "Predicting Ego-Vehicle Paths From Environmental Observations With A Deep Neural Network",
    year = "2018"
}

@InProceedings{Tang_2019_ICRA,
    author = "Tang, C. and Chen, J. and Tomizuka, M.",
    booktitle = "ICRA",
    title = "Adaptive Probabilistic Vehicle Trajectory Prediction Through Physically Feasible Bayesian Recurrent Neural Network",
    year = "2019"
}

@InProceedings{Ren_2019_ICRA,
    author = "Ren, J. and Chien, Y. and Chia, E. and Fu, L. and Lai, J.",
    booktitle = "ICRA",
    title = "Deep Learning Based Motion Prediction For Exoskeleton Robot Control In Upper Limb Rehabilitation",
    year = "2019"
}

@InProceedings{Katyal_2019_ICRA,
    author = "Katyal, K. and Popek, K. and Paxton, C. and Burlina, P. and Hager, G. D.",
    booktitle = "ICRA",
    title = "Uncertainty-Aware Occupancy Map Prediction Using Generative Networks For Robot Navigation",
    year = "2019"
}

@InProceedings{Stulp_2015_IROS,
    author = "Stulp, F. and Grizou, J. and Busch, B. and Lopes, M.",
    booktitle = "IROS",
    title = "Facilitating Intention Prediction For Humans By Optimizing Robot Motions",
    year = "2015"
}

@InProceedings{Akbarzadeh_2015_IROS,
    author = "Akbarzadeh, V. and Gagné, C. and Parizeau, M.",
    booktitle = "IROS",
    title = "Kernel Density Estimation For Target Trajectory Prediction",
    year = "2015"
}

@InProceedings{Park_2016_IROS,
    author = "Park, C. and Ondřej, J. and Gilbert, M. and Freeman, K. and O'Sullivan, C.",
    booktitle = "IROS",
    title = "Hi Robot: Human Intention-Aware Robot Planning For Safe And Efficient Navigation In Crowds",
    year = "2016"
}

@InProceedings{Schneemann_2016_IROS,
    author = "Schneemann, F. and Heinemann, P.",
    booktitle = "IROS",
    title = "Context-Based Detection Of Pedestrian Crossing Intention For Autonomous Driving In Urban Environments",
    year = "2016"
}

@InProceedings{Choi_2016_IROS,
    author = "Choi, S. and Lee, K. and Oh, S.",
    booktitle = "IROS",
    title = "Robust Modeling And Prediction In Dynamic Environments Using Recurrent Flow Networks",
    year = "2016"
}

@InProceedings{Pfeiffer_2016_IROS,
    author = "Pfeiffer, M. and Schwesinger, U. and Sommer, H. and Galceran, E. and Siegwart, R.",
    booktitle = "IROS",
    title = "Predicting Actions To Act Predictably: Cooperative Partial Motion Planning With Maximum Entropy Models",
    year = "2016"
}

@InProceedings{Holtzen_2016_IROS,
    author = "Holtzen, S. and Zhao, Y. and Gao, T. and Tenenbaum, J. B. and Zhu, S.",
    booktitle = "IROS",
    title = "Inferring Human Intent From Video By Sampling Hierarchical Plans",
    year = "2016"
}

@InProceedings{Shkurti_2017_IROS,
    author = "Shkurti, F. and Dudek, G.",
    booktitle = "IROS",
    title = "Topologically Distinct Trajectory Predictions For Probabilistic Pursuit",
    year = "2017"
}

@InProceedings{Sur_2017_IROS,
    author = "Sur, I. and Ben Amor, H.",
    booktitle = "IROS",
    title = "Robots That Anticipate Pain: Anticipating Physical Perturbations From Visual Cues Through Deep Predictive Models",
    year = "2017"
}

@InProceedings{Gui_2018_IROS,
    author = "Gui, L. and Zhang, K. and Wang, Y. and Liang, X. and Moura, J. M. F. and Veloso, M.",
    booktitle = "IROS",
    title = "Teaching Robots To Predict Human Motion",
    year = "2018"
}

@InProceedings{Bhattacharyya_2018_IROS,
    author = "Bhattacharyya, Raunak P. and Phillips, Derek J. and Wulfe, Blake and Morton, Jeremy and Kuefler, Alex and Kochenderfer, Mykel J.",
    booktitle = "IROS",
    title = "Multi-Agent Imitation Learning for Driving Simulation",
    year = "2018"
}


@InProceedings{Rudenko_2018_IROS,
    author = "Rudenko, A. and Palmieri, L. and Lilienthal, A. J. and Arras, K. O.",
    booktitle = "IROS",
    title = "Human Motion Prediction Under Social Grouping Constraints",
    year = "2018"
}

@InProceedings{Schulz_2018_IROS,
    author = "Schulz, J. and Hubmann, C. and Löchner, J. and Burschka, D.",
    booktitle = "IROS",
    title = "Interaction-Aware Probabilistic Behavior Prediction In Urban Environments",
    year = "2018"
}

@InProceedings{Shen_2018_IROS,
    author = "Shen, M. and Habibi, G. and How, J. P.",
    booktitle = "IROS",
    title = "Transferable Pedestrian Motion Prediction Models At Intersections",
    year = "2018"
}

@InProceedings{Pulgarin_2018_IROS,
    author = "Lopez Pulgarin, E. J. and Herrmann, G. and Leonards, U.",
    booktitle = "IROS",
    title = "Drivers' Manoeuvre Prediction For Safe {HRI}",
    year = "2018"
}

@InProceedings{Afolabi_2018_IROS,
    author = "Afolabi, O. and Driggs–Campbell, K. and Dong, R. and Kochenderfer, M. J. and Sastry, S. S.",
    booktitle = "IROS",
    title = "People As Sensors: Imputing Maps From Human Actions",
    year = "2018"
}

@InProceedings{Change_2018_IROS,
    author = "Lee Chang, M. and Gutierrez, R. A. and Khante, P. and Schaertl Short, E. and Lockerd Thomaz, A.",
    booktitle = "IROS",
    title = "Effects Of Integrated Intent Recognition And Communication On Human-Robot Collaboration",
    year = "2018"
}

@InProceedings{Hu_2016_IROS,
    author = "Hu, N. and Bestick, A. and Englebienne, G. and Bajscy, R. and Kröse, B.",
    booktitle = "IROS",
    title = "Human Intent Forecasting Using Intrinsic Kinematic Constraints",
    year = "2016"
}

@InProceedings{Ziaeetabar_2018_IROS,
    author = "Ziaeetabar, F. and Kulvicius, T. and Tamosiunaite, M. and Wörgötter, F.",
    booktitle = "IROS",
    title = "Prediction Of Manipulation Action Classes Using Semantic Spatial Reasoning",
    year = "2018"
}

@InProceedings{Jin_2018_IROS,
    author = "Jin, B. and Hu, Y. and Zeng, Y. and Tang, Q. and Liu, S. and Ye, J.",
    booktitle = "IROS",
    title = "{VarNet}: Exploring Variations For Unsupervised Video Prediction",
    year = "2018"
}

@InProceedings{Carvalho_2019_IROS,
    author = "Carvalho, J Frederico and Vejdemo-Johansson, Mikael and Pokorny, Florian T and Kragic, Danica",
    booktitle = "IROS",
    title = "Long-Term Prediction Of Motion Trajectories Using Path Homology Clusters",
    year = "2019"
}

@InProceedings{Srikanth_2019_IROS,
    author = "Srikanth, Shashank and Ansari, Junaid Ahmed and Sharma, Sarthak and others",
    booktitle = "IROS",
    title = "{INFER}: {IN}termediate Representations For {F}utur{E} P{R}ediction",
    year = "2019"
}

@InProceedings{Jung_2019_IROS,
    author = "Jung, Minju and Matsumoto, Takazumi and Tani, Jun",
    booktitle = "IROS",
    title = "Goal-Directed Behavior Under Variational Predictive Coding: Dynamic Organization Of Visual Attention And Working Memory",
    year = "2019"
}

@InProceedings{Cho_2019_IROS,
    author = "Cho, Kyunghoon and Ha, Timothy and Lee, Gunmin and Oh, Songhwai",
    booktitle = "IROS",
    title = "Deep Predictive Autonomous Driving Using Multi-Agent Joint Trajectory Prediction And Traffic Rules",
    year = "2019"
}

@InProceedings{Stolzenwald_2019_IROS,
    author = "Stolzenwald, Janis and Mayol-Cuevas, Walterio W",
    booktitle = "IROS",
    title = "Rebellion And Obedience: The Effects Of Intention Prediction In Cooperative Handheld Robots",
    year = "2019"
}

@InProceedings{Hourdakis_2019_IROS,
    author = "Hourdakis, Emmanouil and Maniadakis, Michail and Trahanias, Panos",
    booktitle = "IROS",
    title = "Online Performance Prediction And Profiling Of Human Activities By Observation",
    year = "2019"
}

@InProceedings{Zhou_2019_IROS,
    author = "Zhou, Siyu and Phielipp, Mariano J and Sefair, Jorge A and Walker, Sara I and Amor, Heni Ben",
    booktitle = "IROS",
    title = "Clone Swarms: Learning To Predict And Control Multi-Robot Systems By Imitation",
    year = "2019"
}

@InProceedings{Anderson_2019_IROS,
    author = "Anderson, Cyrus and Du, Xiaoxiao and Vasudevan, Ram and Johnson-Roberson, Matthew",
    booktitle = "IROS",
    title = "Stochastic Sampling Simulation For Pedestrian Trajectory Prediction",
    year = "2019"
}

@InProceedings{Li_2019_IROS,
    author = "Li, Jiachen and Ma, Hengbo and Tomizuka, Masayoshi",
    booktitle = "IROS",
    title = "Conditional Generative Neural System For Probabilistic Trajectory Prediction",
    year = "2019"
}

@InProceedings{Zhu_2019_IROS,
    author = "Zhu, Yanliang and Qian, Deheng and Ren, Dongchun and Xia, Huaxia",
    booktitle = "IROS",
    title = "{StarNet}: Pedestrian Trajectory Prediction Using Deep Neural Network In Star Topology",
    year = "2019"
}

@InProceedings{Manglik_2019_IROS,
    author = "Manglik, Aashi and Weng, Xinshuo and Ohn-Bar, Eshed and Kitani, Kris M",
    booktitle = "IROS",
    title = "Forecasting Time-To-Collision From Monocular Video: Feasibility, Dataset, And Challenges",
    year = "2019"
}

@InProceedings{Wu_2019_IROS,
    author = "Wu, Min and Louw, Tyron and Lahijanian, Morteza and Ruan, Wenjie and Huang, Xiaowei and Merat, Natasha and Kwiatkowska, Marta",
    booktitle = "IROS",
    title = "Gaze-Based Intention Anticipation Over Driving Manoeuvres In Semi-Autonomous Vehicles",
    year = "2019"
}

@InProceedings{Buckman_2019_IROS,
    author = "Buckman, Noam and Pierson, Alyssa and Schwarting, Wilko and Karaman, Sertac and Rus, Daniela",
    booktitle = "IROS",
    title = "Sharing Is Caring: Socially-Compliant Autonomous Intersection Negotiation",
    year = "2019"
}

@InProceedings{Beck_2019_IROS,
    author = "Beck, Florian and Bader, Markus",
    booktitle = "IROS",
    title = "Map Based Human Motion Prediction For People Tracking",
    year = "2019"
}

@InProceedings{Graves_2019_IROS,
    author = "Graves, Daniel and Rezaee, Kasra and Scheideman, Sean",
    booktitle = "IROS",
    title = "Perception As Prediction Using General Value Functions In Autonomous Driving Applications",
    year = "2019"
}

@InProceedings{Guo_2019_IROS,
    author = "Gue, Longxiang and Jia, Yunyi",
    booktitle = "IROS",
    title = "Modeling, Learning And Prediction Of Longitudinal Behaviors Of Human-Driven Vehicles By Incorporating Internal Human Decisionmaking Process Using Inverse Model Predictive Control",
    year = "2019"
}

@InProceedings{Kim_2019_IROS,
    author = "Kim, Minwoo and Park, Bumsoo and Oh, Hyondong",
    booktitle = "IROS",
    title = "Target Classification And Prediction Of Unguided Rocket Trajectories Using Deep Neural Networks",
    year = "2019"
}

@InProceedings{Li_2019_IROS_2,
    author = "Li, Xin and Yanliang, Zhu and Qian, Deheng and Ren, Dongchun",
    booktitle = "IROS",
    title = "Urban Street Trajectory Prediction With Multi-Class {LSTM} Networks",
    year = "2019"
}

@InProceedings{Luo_2019_IROS,
    author = "Luo, Ren C. and Mai, Lincong",
    booktitle = "IROS",
    title = "Human Intention Inference And On-Line Human Hand Motion Prediction For Human-Robot Collaboration",
    year = "2019"
}

@InProceedings{Song_2019_IROS,
    author = "Song, Bowen and Chen, Weidong and Wang, Jingchuan and Wang, Hesheng",
    booktitle = "IROS",
    title = "Long-Term Visual Inertial {SLAM} Based On Time Series Map Prediction",
    year = "2019"
}

@InProceedings{Talignani_2019_IROS,
    author = "Talignani Landi, Chiara and Cheng, Yujiao and Ferraguti, Federica and Bonfe, Marcello and Secchi, Cristian and Tomizuka, Masayoshi",
    booktitle = "IROS",
    title = "Prediction Of Human Arm Target For Robot Reaching Movements",
    year = "2019"
}

@InProceedings{Zapf_2019_IROS,
    author = "Zapf, Marc Patrick and Kawanabe, Motoaki and Morales Saiki, Luis Yoichi",
    booktitle = "IROS",
    title = "Pedestrian Density Prediction For Efficient Mobile Robot Exploration",
    year = "2019"
}

@InProceedings{Fernando_2018_ACCV,
    author = "Fernando, Tharindu and Denman, Simon and Sridharan, Sridha and Fookes, Clinton",
    editor = "Jawahar, C. V. and Li, Hongdong and Mori, Greg and Schindler, Konrad",
    title = "{GD-GAN}: Generative Adversarial Networks For Trajectory Prediction And Group Detection In Crowds",
    booktitle = "ACCV",
    year = "2018"
}

@InProceedings{Aliakbarian_2018_ACCV,
    author = "Aliakbarian, Mohammad Sadegh and Saleh, Fatemeh Sadat and Salzmann, Mathieu and Fernando, Basura and Petersson, Lars and Andersson, Lars",
    editor = "Jawahar, C. V. and Li, Hongdong and Mori, Greg and Schindler, Konrad",
    title = "{VIENA2}: A Driving Anticipation Dataset",
    booktitle = "ACCV",
    year = "2018"
}

@InProceedings{Ying_2018_ACCV,
    author = "Ying, Guohao and Zou, Yingtian and Wan, Lin and Hu, Yiming and Feng, Jiashi",
    editor = "Jawahar, C.V. and Li, Hongdong and Mori, Greg and Schindler, Konrad",
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    author    = "Aliakbarian, Sadegh and Saleh, Fatemeh and Petersson, Lars and Gould, Stephen and Salzmann, Mathieu",
    title     = "Contextually Plausible and Diverse {3D} Human Motion Prediction",
    booktitle = "ICCV",
    year      = "2021"
}
@InProceedings{Zhao_2021_ICCV,
    author    = "Zhao, He and Wildes, Richard P.",
    title     = "Where Are You Heading? Dynamic Trajectory Prediction With Expert Goal Examples",
    booktitle = "ICCV",
    year      = "2021"
}
@InProceedings{Cui_2021_ICCV,
    author    = "Cui, Alexander and Casas, Sergio and Sadat, Abbas and Liao, Renjie and Urtasun, Raquel",
    title     = "{LookOut}: Diverse Multi-Future Prediction and Planning for Self-Driving",
    booktitle = "ICCV",
    year      = "2021"
}
@InProceedings{Banijamali_2021_ICCV,
    author    = "Banijamali, Ershad and Rohani, Mohsen and Amirloo, Elmira and Luo, Jun and Poupart, Pascal",
    title     = "Prediction by Anticipation: An Action-Conditional Prediction Method Based on Interaction Learning",
    booktitle = "ICCV",
    year      = "2021"
}
@InProceedings{Girase_2021_ICCV,
    author    = "Girase, Harshayu and Gang, Haiming and Malla, Srikanth and Li, Jiachen and Kanehara, Akira and Mangalam, Karttikeya and Choi, Chiho",
    title     = "{LOKI}: Long Term and Key Intentions for Trajectory Prediction",
    booktitle = "ICCV",
    year      = "2021"
}

@InProceedings{Sun_2021_ICCV,
    author    = "Sun, Jianhua and Li, Yuxuan and Fang, Hao-Shu and Lu, Cewu",
    title     = "Three Steps to Multimodal Trajectory Prediction: Modality Clustering, Classification and Synthesis",
    booktitle = "ICCV",
    year      = "2021"
}
@InProceedings{Chen_2021_ICCV,
    author    = "Chen, Guangyi and Li, Junlong and Zhou, Nuoxing and Ren, Liangliang and Lu, Jiwen",
    title     = "Personalized Trajectory Prediction via Distribution Discrimination",
    booktitle = "ICCV",
    year      = "2021"
}
@InProceedings{Dang_2021_ICCV,
    author    = "Dang, Lingwei and Nie, Yongwei and Long, Chengjiang and Zhang, Qing and Li, Guiqing",
    title     = "{MSR-GCN}: Multi-Scale Residual Graph Convolution Networks for Human Motion Prediction",
    booktitle = "ICCV",
    year      = "2021"
}
@InProceedings{Hu_2021_ICCV,
    author    = "Hu, Anthony and Murez, Zak and Mohan, Nikhil and Dudas, Sofia and Hawke, Jeffrey and Badrinarayanan, Vijay and Cipolla, Roberto and Kendall, Alex",
    title     = "{FIERY}: Future Instance Prediction in Bird's-Eye View From Surround Monocular Cameras",
    booktitle = "ICCV",
    year      = "2021"
}
@InProceedings{Mao_2021_ICCV,
    author    = "Mao, Wei and Liu, Miaomiao and Salzmann, Mathieu",
    title     = "Generating Smooth Pose Sequences for Diverse Human Motion Prediction",
    booktitle = "ICCV",
    year      = "2021"
}
@InProceedings{Hassan_2021_ICCV,
    author    = "Hassan, Mohamed and Ceylan, Duygu and Villegas, Ruben and Saito, Jun and Yang, Jimei and Zhou, Yi and Black, Michael J.",
    title     = "Stochastic Scene-Aware Motion Prediction",
    booktitle = "ICCV",
    year      = "2021"
}
@InProceedings{Dendorfer_2021_ICCV,
    author    = "Dendorfer, Patrick and Elflein, Sven and Leal-Taixe, Laura",
    title     = "{MG-GAN}: A Multi-Generator Model Preventing Out-of-Distribution Samples in Pedestrian Trajectory Prediction",
    booktitle = "ICCV",
    year      = "2021"
}
@InProceedings{Chatterjee_2021_ICCV,
    author    = "Chatterjee, Moitreya and Ahuja, Narendra and Cherian, Anoop",
    title     = "A Hierarchical Variational Neural Uncertainty Model for Stochastic Video Prediction",
    booktitle = "ICCV",
    year      = "2021"
}
@InProceedings{Makansi_2021_ICCV,
    author    = "Makansi, Osama and Cicek, Ozgun and Marrakchi, Yassine and Brox, Thomas",
    title     = "On Exposing the Challenging Long Tail in Future Prediction of Traffic Actors",
    booktitle = "ICCV",
    year      = "2021"
}
@InProceedings{Liu_2021_ICCV,
    author    = "Liu, Zhenguang and Su, Pengxiang and Wu, Shuang and Shen, Xuanjing and Chen, Haipeng and Hao, Yanbin and Wang, Meng",
    title     = "Motion Prediction Using Trajectory Cues",
    booktitle = "ICCV",
    year      = "2021"
}
@InProceedings{Akan_2021_ICCV,
    author    = "Akan, Adil Kaan and Erdem, Erkut and Erdem, Aykut and Guney, Fatma",
    title     = "{SLAMP}: Stochastic Latent Appearance and Motion Prediction",
    booktitle = "ICCV",
    year      = "2021"
}
@InProceedings{Lin_2021_ICCV,
    author    = "Lin, Zihang and Sun, Jiangxin and Hu, Jian-Fang and Yu, Qizhi and Lai, Jian-Huang and Zheng, Wei-Shi",
    title     = "Predictive Feature Learning for Future Segmentation Prediction",
    booktitle = "ICCV",
    year      = "2021"
}
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  title="Pose Estimation and Segmentation of People in {3D} Movies",
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    booktitle = "ICCV",
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@InProceedings{Ren_2021_ICCV,
    author    = "Ren, Xuanchi and Yang, Tao and Li, Li Erran and Alahi, Alexandre and Chen, Qifeng",
    title     = "Safety-Aware Motion Prediction With Unseen Vehicles for Autonomous Driving",
    booktitle = "ICCV",
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@InProceedings{Chen_2021_ICCV_2,
    author    = "Chen, Guangyi and Li, Junlong and Lu, Jiwen and Zhou, Jie",
    title     = "Human Trajectory Prediction via Counterfactual Analysis",
    booktitle = "ICCV",
    year      = "2021"
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@InProceedings{Bao_2021_ICCV,
    author    = "Bao, Wentao and Yu, Qi and Kong, Yu",
    title     = "{DRIVE}: Deep Reinforced Accident Anticipation With Visual Explanation",
    booktitle = "ICCV",
    year      = "2021"
}

@ARTICLE{FANG_2021_TITS,
  author="J. Fang and D. Yan and J. Qiao and J. Xue and H. Yu",
  journal="Trans-ITS", 
  title="{DADA}: Driver Attention Prediction in Driving Accident Scenarios", 
  year="2021"
}
@InProceedings{Li_2021_ICCV,
    author    = "Li, Shijie and Zhou, Yanying and Yi, Jinhui and Gall, Juergen",
    title     = "Spatial-Temporal Consistency Network for Low-Latency Trajectory Forecasting",
    booktitle = "ICCV",
    year      = "2021"
}

@InProceedings{Ettinger_2021_ICCV,
    author    = "Ettinger, Scott and Cheng, Shuyang and Caine, Benjamin and Liu, Chenxi and Zhao, Hang and Pradhan, Sabeek and Chai, Yuning and Sapp, Ben and Qi, Charles R. and Zhou, Yin and Yang, Zoey and Chouard, Aurelien and Sun, Pei and Ngiam, Jiquan and Vasudevan, Vijay and McCauley, Alexander and Shlens, Jonathon and Anguelov, Dragomir",
    title     = "Large Scale Interactive Motion Forecasting for Autonomous Driving: The Waymo Open Motion Dataset",
    booktitle = "ICCV",
    year      = "2021"
}
@InProceedings{Mangalam_2021_ICCV,
    author    = "Mangalam, Karttikeya and An, Yang and Girase, Harshayu and Malik, Jitendra",
    title     = "From Goals, Waypoints & Paths to Long Term Human Trajectory Forecasting",
    booktitle = "ICCV",
    year      = "2021"
}
@InProceedings{Adeli_2021_ICCV,
    author    = "Adeli, Vida and Ehsanpour, Mahsa and Reid, Ian and Niebles, Juan Carlos and Savarese, Silvio and Adeli, Ehsan and Rezatofighi, Hamid",
    title     = "{TRiPOD}: Human Trajectory and Pose Dynamics Forecasting in the Wild",
    booktitle = "ICCV",
    year      = "2021"
}
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	Title = "{PoseTrack}: A Benchmark for Human Pose Estimation and Tracking",
	booktitle = "CVPR",
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	Year = "2018"
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@InProceedings{Sofianos_2021_ICCV,
    author    = "Sofianos, Theodoros and Sampieri, Alessio and Franco, Luca and Galasso, Fabio",
    title     = "Space-Time-Separable Graph Convolutional Network for Pose Forecasting",
    booktitle = "ICCV",
    year      = "2021"
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@InProceedings{Yuan_2021_ICCV,
    author    = "Yuan, Ye and Weng, Xinshuo and Ou, Yanglan and Kitani, Kris M.",
    title     = "{AgentFormer}: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting",
    booktitle = "ICCV",
    year      = "2021"
}
@InProceedings{Li_2021_ICCV_2,
    author    = "Li, Jiachen and Yang, Fan and Ma, Hengbo and Malla, Srikanth and Tomizuka, Masayoshi and Choi, Chiho",
    title     = "{RAIN}: Reinforced Hybrid Attention Inference Network for Motion Forecasting",
    booktitle = "ICCV",
    year      = "2021"
}
@InProceedings{Ma_2021_ICCV,
    author    = "Ma, Yecheng Jason and Inala, Jeevana Priya and Jayaraman, Dinesh and Bastani, Osbert",
    title     = "Likelihood-Based Diverse Sampling for Trajectory Forecasting",
    booktitle = "ICCV",
    year      = "2021"
}

@InProceedings{Bhattacharyya_2021_CVPR,
    author    = "Bhattacharyya, Apratim and Reino, Daniel Olmeda and Fritz, Mario and Schiele, Bernt",
    title     = "{Euro-PVI}: Pedestrian Vehicle Interactions in Dense Urban Centers",
    booktitle = "CVPR",
    year      = "2021"
}


@InProceedings{Wang_2021_ICRA,
  author="Wang, Ansheng and Makino, Yasutoshi and Shinoda, Hiroyuki",
  booktitle="ICRA", 
  title="Machine Learning-based Human-Following System: Following the Predicted Position of a Walking Human", 
  year="2021"
  }
 
 @InProceedings{Bergamini_2021_ICRA,
  author="Bergamini, Luca and Ye, Yawei and Scheel, Oliver and Chen, Long and Hu, Chih and Del Pero, Luca and Osiński, Błażej and Grimmett, Hugo and Ondruska, Peter",
  booktitle="ICRA", 
  title="{SimNet}: Learning Reactive Self-driving Simulations from Real-world Observations", 
  year="2021"
  }
  
  
  
 @InProceedings{Berkemeyer_2021_ICRA,
  author="Berkemeyer, Hendrik and Franceschini, Riccardo and Tran, Tuan and Che, Lin and Pipa, Gordon",
  booktitle="ICRA", 
  title="Feasible and Adaptive Multimodal Trajectory Prediction with Semantic Maneuver Fusion", 
  year="2021"
  }
  
@InProceedings{Kordia_2021_ICRA,
  author="Kordia, Ali H. and Melo, Francisco S.",
  booktitle="ICRA", 
  title="Movement Recognition and Prediction using {DMPs}", 
  year="2021"
 }
  
    
@InProceedings{Shridhar_2021_ICRA,
  author="Shridhar, Skanda and Ma, Yuhang and Stentz, Tara and Shen, Zhengdi and Haynes, Galen Clark and Traft, Neil",
  booktitle="ICRA", 
  title="Beelines: Motion Prediction Metrics for Self-Driving Safety and Comfort", 
  year="2021"
 }
  
  
  @InProceedings{Albrecht_2021_ICRA,
  author="Albrecht, Stefano V. and Brewitt, Cillian and Wilhelm, John and Gyevnar, Balint and Eiras, Francisco and Dobre, Mihai and Ramamoorthy, Subramanian",
  booktitle="ICRA", 
  title="Interpretable Goal-based Prediction and Planning for Autonomous Driving", 
  year="2021"
 }
  
    @InProceedings{Cao_2021_ICRA,
  author="Cao, Defu and Li, Jiachen and Ma, Hengbo and Tomizuka, Masayoshi",
  booktitle="ICRA", 
  title="Spectral Temporal Graph Neural Network for Trajectory Prediction", 
  year="2021"
 }

@Article{Wirthmuller_2021_RAL,
  author="Wirthmüller, Florian and Klimke, Marvin and Schlechtriemen, Julian and Hipp, Jochen and Reichert, Manfred",
  journal="RAL", 
  title="Predicting the Time Until a Vehicle Changes the Lane Using {LSTM-Based} Recurrent Neural Networks", 
  year="2021",
  volume="6",
  number="2",
  pages="2357-2364"
  }
  
  
  @Article{Zhu_2021_RAL,
  author="Zhu, Hai and Claramunt, Francisco Martinez and Brito, Bruno and Alonso-Mora, Javier",
  journal="RAL", 
  title="Learning Interaction-Aware Trajectory Predictions for Decentralized Multi-Robot Motion Planning in Dynamic Environments", 
  year="2021",
  volume="6",
  number="2",
  pages="2256-2263"
  }

  
  @Article{Wang_2022_RAL_2,
  author="Wang, Chuhua and Wang, Yuchen and Xu, Mingze and Crandall, David J.",
  journal="RAL", 
  title="Stepwise Goal-Driven Networks for Trajectory Prediction", 
  year="2022",
  volume="7",
  number="2",
  pages="2716-2723"
  }
 

  @Article{Xu_2021_RAL,
  author="Xu, Yi and Ren, Dongchun and Li, Mingxia and Chen, Yuehai and Fan, Mingyu and Xia, Huaxia",
  journal="RAL", 
  title="Tra2Tra: Trajectory-to-Trajectory Prediction With a Global Social Spatial-Temporal Attentive Neural Network", 
  year="2021",
  volume="6",
  number="2",
  pages="1574-1581"
  }
  

  
@InProceedings{Xu_2021_ICRA,
  author="Xu, Jie and Chen, Xingyu and Lan, Xuguang and Zheng, Nanning",
  booktitle="ICRA", 
  title="Probabilistic Human Motion Prediction via A Bayesian Neural Network", 
  year="2021"
 }
   
   @InProceedings{Li_2021_ICRA,
  author="Li, Qin and Chalvatzaki, Georgia and Peters, Jan and Wang, Yong",
  booktitle="ICRA", 
  title="Directed Acyclic Graph Neural Network for Human Motion Prediction", 
  year="2021"
 }
 
 
    @InProceedings{Tolstaya_2021_ICRA,
  author="Tolstaya, Ekaterina and Mahjourian, Reza and Downey, Carlton and Vadarajan, Balakrishnan and Sapp, Benjamin and Anguelov, Dragomir",
  booktitle="ICRA", 
  title="Identifying Driver Interactions via Conditional Behavior Prediction", 
  year="2021"
 }

    @InProceedings{Conte_2021_ICRA,
  author="Conte, Dean and Furukawa, Tomonari",
  booktitle="ICRA", 
  title="Autonomous Robotic Escort Incorporating Motion Prediction and Human Intention", 
  year="2021"
 }

    @InProceedings{Chen_2015_ICIP,
  author="Chen, Chen and Jafari, Roozbeh and Kehtarnavaz, Nasser",
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  title="{UTD-MHAD}: A Multimodal Dataset for Human Action Recognition Utilizing a Depth Camera and a Wearable Inertial Sensor", 
  year="2015"
 }
 
   
  @Article{Yasar_2021_RAL,
  author="Yasar, Mohammad Samin and Iqbal, Tariq",
  journal="RAL", 
  title="A Scalable Approach to Predict Multi-Agent Motion for Human-Robot Collaboration", 
  year="2021",
  volume="6",
  number="2",
  pages="1686-1693"
  }

@Article{Li_2021_RAL,
  author="Li, Xiao and Rosman, Guy and Gilitschenski, Igor and Vasile, Cristian-Ioan and DeCastro, Jonathan A. and Karaman, Sertac and Rus, Daniela",
  journal="RAL", 
  title="A Scalable Approach to Predict Multi-Agent Motion for Human-Robot Collaboration", 
  year="2021",
  volume="6",
  number="2",
  pages="3459-3466"
 }
   
@Article{Butepage_2020_FRAI,
  author="Bütepage, Judith and Ghadirzadeh, Ali and Öztimur Karadaǧ, Özge and Björkman, Mårten and Kragic, Danica",
  journal="Frontiers in Robotics and AI", 
  title="Imitating by Generating: Deep Generative Models for Imitation of Interactive Tasks", 
  year="2020",
  volume="7",
  number="2" 
  } 


@InProceedings{Dulian_2021_ICRA,
  author="Dulian, Albert and Murray, John C.",
  booktitle="ICRA", 
  title="Exploiting Latent Representation of Sparse Semantic Layers for Improved Short-term Motion Prediction with Capsule Networks", 
  year="2021"
 }


    @InProceedings{Cui_2021_ICRA,
  author="Cui, Henggang and Shajari, Hoda and Yalamanchi, Sai and Djuric, Nemanja",
  booktitle="ICRA", 
  title="Ellipse Loss for Scene-Compliant Motion Prediction", 
  year="2021"
 }

@Article{Yao_2021_RAL,
  author="Yao, Yu and Atkins, Ella and Johnson-Roberson, Matthew and Vasudevan, Ram and Du, Xiaoxiao",
  journal="RAL", 
  title="{BiTraP}: Bi-Directional Pedestrian Trajectory Prediction With Multi-Modal Goal Estimation", 
  year="2021",
  volume="6",
  number="2",
  pages="3459-3466"
 }
 
     @InProceedings{Yau_2021_ICRA,
  author="Yau, Tiffany and Malekmohammadi, Saber and Rasouli, Amir and Lakner, Peter and Rohani, Mohsen and Luo, Jun",
  booktitle="ICRA", 
  title="{Graph-SIM}: A Graph-based Spatiotemporal Interaction Modelling for Pedestrian Action Prediction", 
  year="2021"
 }

  
@InProceedings{Rasouli_2020_NeurIPSW,
  author="Rasouli, Amir and Yau, Tiffany and Lakner, Peter and Malekmohammadi, Saber and Rohani, Mohsen and Luo, Jun",
  booktitle="NeurIPSW", 
  title="{PePScenes}: A Novel Dataset and Baseline for Pedestrian Action Prediction in {3D}", 
  year="2020"
 }
 
 
      @InProceedings{Majcherczyk_2021_ICRA,
  author="Majcherczyk, Nathalie and Srishankar, Nishan and Pinciroli, Carlo",
  booktitle="ICRA", 
  title="{Flow-FL}: Data-Driven Federated Learning for Spatio-Temporal Predictions in Multi-Robot Systems", 
  year="2021"
 }

@Article{Cleac_2021_RAL,
  author="Le Cleac’h, Simon and Schwager, Mac and Manchester, Zachary",
  journal="RAL", 
  title="{LUCIDGames}: Online Unscented Inverse Dynamic Games for Adaptive Trajectory Prediction and Planning", 
  year="2021",
  volume="6",
  number="3",
  pages="5485-5492"
 }  
 
 @Article{Zhang_2021_RAL,
  author="Zhang, Kuangen and Liu, Haiyuan and Fan, Zixuan and Chen, Xinxing and Leng, Yuquan and de Silva, Clarence W. and Fu, Chenglong",
  journal="RAL", 
  title="Foot Placement Prediction for Assistive Walking by Fusing Sequential {3D} Gaze and Environmental Context", 
  year="2021",
  volume="6",
  number="2",
  pages="2509-2516"
 }  

  @InProceedings{Cheng_2021_ICRA,
  author="Cheng, Hao and Liao, Wentong and Tang, Xuejiao and Yang, Michael Ying and Sester, Monika and Rosenhahn, Bodo",
  booktitle="ICRA", 
  title="Exploring Dynamic Context for Multi-path Trajectory Prediction", 
  year="2021"
 }

  @InProceedings{Li_2021_ICRA_3,
  author="Li, Fei and Li, Xiangxu and Luo, Jun and Fan, Shiwei and Zhang, Hongbo",
  booktitle="ICRA", 
  title="Open-set Intersection Intention Prediction for Autonomous Driving", 
  year="2021"
 }
 
 @Article{Park_2021_RAL,
  author="Park, Juyoun and Park, Chung Hyuk",
  journal="RAL", 
  title="Recognition and Prediction of Surgical Actions Based on Online Robotic Tool Detection", 
  year="2021",
  volume="6",
  number="2",
  pages="2365-2372"
 }  
 
 
 
  @InProceedings{Schmeckpeper_2021_ICRA,
  author="Schmeckpeper, Karl and Georgakis, Georgios and Daniilidis, Kostas",
  booktitle="ICRA", 
  title="Object-centric Video Prediction without Annotation", 
  year="2021"
 }
   @InProceedings{Xie_2021_ICRA,
  author="Xie, Xu and Zhang, Chi and Zhu, Yixin and Wu, Ying Nian and Zhu, Song-Chun",
  booktitle="ICRA", 
  title="Congestion-aware Multi-agent Trajectory Prediction for Collision Avoidance", 
  year="2021"
 }
 
    @InProceedings{Toyungyernsub_2021_ICRA,
  author="Toyungyernsub, Maneekwan and Itkina, Masha and Senanayake, Ransalu and Kochenderfer, Mykel J.",
  booktitle="ICRA", 
  title="Double-Prong {ConvLSTM} for Spatiotemporal Occupancy Prediction in Dynamic Environments", 
  year="2021"
 }
 
 @InProceedings{Liu_2021_ICRA,
  author="Liu, Congcong and Chen, Yuying and Liu, Ming and Shi, Bertram E.",
  booktitle="ICRA", 
  title="{AVGCN}: Trajectory Prediction using Graph Convolutional Networks Guided by Human Attention", 
  year="2021"
 }
 
 
  @InProceedings{Li_2021_ICRA_2,
  author="Li, Kunming and Eiffert, Stuart and Shan, Mao and Gomez-Donoso, Francisco and Worrall, Stewart and Nebot, Eduardo",
  booktitle="ICRA", 
  title="{Attentional-GCNN}: Adaptive Pedestrian Trajectory Prediction towards Generic Autonomous Vehicle Use Cases", 
  year="2021"
 }
 
  @InProceedings{Zhu_2021_ICRA,
  author="Zhu, Yanliang and Ren, Dongchun and Qian, Deheng and Fan, Mingyu and Li, Xin and Xia, Huaxia",
  booktitle="ICRA", 
  title="Star Topology based Interaction for Robust Trajectory Forecasting in Dynamic Scene", 
  year="2021"
 }

  @InProceedings{Malla_2021_ICRA,
  author="Malla, Srikanth and Choi, Chiho and Dariush, Behzad",
  booktitle="ICRA", 
  title="{Social-STAGE}: Spatio-Temporal Multi-Modal Future Trajectory Forecast", 
  year="2021"
 }

  @Article{Meyer_2021_RAL,
  author="Meyer, Gregory P. and Charland, Jake and Pandey, Shreyash and Laddha, Ankit and Gautam, Shivam and Vallespi-Gonzalez, Carlos and Wellington, Carl K.",
  journal="RAL", 
  title="{LaserFlow}: Efficient and Probabilistic Object Detection and Motion Forecasting", 
  year="2021",
  volume="6",
  number="2",
  pages="526-533"
 }  
 

  
    @Article{Anderson_2021_RAL,
  author="Anderson, Cyrus and Vasudevan, Ram and Johnson-Roberson, Matthew",
  journal="RAL", 
  title="A Kinematic Model for Trajectory Prediction in General Highway Scenarios", 
  year="2021",
  volume="6",
  number="4",
  pages="6757-6764"
  }
  
@InProceedings{Chen_2021_IROS,
  author="Chen, Bo and Li, Decai and He, Yuqing",
  booktitle="IROS", 
  title="Simultaneous Prediction of Pedestrian Trajectory and Actions based on Context Information Iterative Reasoning", 
  year="2021"
 }

    @Article{Wang_2021_RAL,
  author="Wang, Li and Wu, Tao and Fu, Hao and Xiao, Liang and Wang, Zhiyu and Dai, Bin",
  journal="RAL", 
  title="Multiple Contextual Cues Integrated Trajectory Prediction for Autonomous Driving", 
  year="2021",
  volume="6",
  number="4",
  pages="6844-6851"
  }
  
  @InProceedings{Luo_2021_IROS,
  author="Luo, Katie and Casas, Sergio and Liao, Renjie and Yan, Xinchen and Xiong, Yuwen and Zeng, Wenyuan and Urtasun, Raquel",
  booktitle="IROS", 
  title="Safety-Oriented Pedestrian Occupancy Forecasting", 
  year="2021"
 }
   @InProceedings{Postnikov_2021_IROS,
  author="Postnikov, Aleksey and Gamayunov, Aleksander and Ferrer, Gonzalo",
  booktitle="IROS", 
  title="{CovarianceNet}: Conditional Generative Model for Correct Covariance Prediction in Human Motion Prediction", 
  year="2021"
 }
   @InProceedings{Wang_2021_IROS,
  author="Wang, Lizi and Ye, Hongkai and Wang, Qianhao and Gao, Yuman and Xu, Chao and Gao, Fei",
  booktitle="IROS", 
  title="Learning-based {3D} Occupancy Prediction for Autonomous Navigation in Occluded Environments", 
  year="2021"
 }

   @InProceedings{Xie_2021_IROS,
  author="Xie, Xiaoyang and Shao, Kangjia and Wang, Yang and Miao, Fei and Zhang, Desheng",
  booktitle="IROS", 
  title="Automated Type-Aware Traffic Speed Prediction based on Sparse Intelligent Camera System", 
  year="2021"
 }

   @InProceedings{Mersch_2021_IROS,
  author="Mersch, Benedikt and Höllen, Thomas and Zhao, Kun and Stachniss, Cyrill and Roscher, Ribana",
  booktitle="IROS", 
  title="Maneuver-based Trajectory Prediction for Self-driving Cars Using Spatio-temporal Convolutional Networks", 
  year="2021"
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    @InProceedings{Agarwal_2021_IROS,
  author="Agarwal, Tanmay and Fulton, Michael and Sattar, Junaed",
  booktitle="IROS", 
  title="Predicting the Future Motion of Divers for Enhanced Underwater Human-Robot Collaboration", 
  year="2021"
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 @Article{Langis_2021_arxiv,
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  journal="arXiv:2012.05701", 
  title="An Analysis of Deep Object Detectors For Diver Detection", 
  year="2021" }
  
      @InProceedings{Weng_2021_IROS,
  author="Weng, Zehang and Paus, Fabian and Varava, Anastasiia and Yin, Hang and Asfour, Tamim and Kragic, Danica",
  booktitle="IROS", 
  title="Graph-based Task-specific Prediction Models for Interactions between Deformable and Rigid Objects", 
  year="2021"
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       @InProceedings{Sui_2021_IROS,
  author="Sui, Ze and Zhou, Yue and Zhao, Xu and Chen, Ao and Ni, Yiyang",
  booktitle="IROS", 
  title="Joint Intention and Trajectory Prediction Based on Transformer", 
  year="2021"
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@InProceedings{Ankit_2021_IROS,
  author="Ankit and Narayanan, Karthik and Ghosh, Dibyendu and Honkote, Vinayak and Nandakumar, Ganeshram",
  booktitle="IROS", 
  title="Multi-Variable State Prediction: {HMM} Based Approach for Real-Time Trajectory Prediction", 
  year="2021"
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 @InProceedings{Zhi_2021_IROS,
  author="Zhi, Weiming and Ott, Lionel and Ramos, Fabio",
  booktitle="IROS", 
  title="Probabilistic Trajectory Prediction with Structural Constraints", 
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  @Article{Rudenko_2020_RAL,
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  title="{THÖR}: Human-Robot Navigation Data Collection and Accurate Motion Trajectories Dataset", 
  year="2020",
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  pages="676-682"
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   @InProceedings{Zeng_2021_IROS,
  author="Zeng, Wenyuan and Liang, Ming and Liao, Renjie and Urtasun, Raquel",
  booktitle="IROS", 
  title="{LaneRCNN}: Distributed Representations for Graph-Centric Motion Forecasting", 
  year="2021"
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   @InProceedings{Laddha_2021_IROS,
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  title="{RV-FuseNet}: Range View Based Fusion of Time-Series {LiDAR} Data for Joint {3D} Object Detection and Motion Forecasting", 
  year="2021"
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   @InProceedings{Walters_2021_IROS,
  author="Walters, Celyn and Hadfield, Simon",
  booktitle="IROS", 
  title="{EVReflex}: Dense Time-to-Impact Prediction for Event-based Obstacle Avoidance", 
  year="2021"
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   @InProceedings{Lange_2021_IROS,
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  booktitle="IROS", 
  title="Attention Augmented {ConvLSTM} for Environment Prediction", 
  year="2021"
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   @InProceedings{Su_2021_IROS,
  author="Su, Zhaoxin and Zhang, Sanyuan and Hua, Wei",
  booktitle="IROS", 
  title="{CR-LSTM}: Collision-prior Guided Social Refinement for Pedestrian Trajectory Prediction", 
  year="2021"
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    @InProceedings{Ji_2021_IROS,
  author="Ji, Yunfeng and Hu, Xiaoyi and Chen, Yutao and Mao, Yue and Wang, Gang and Li, Qingdu and Zhang, Jianwei",
  booktitle="IROS", 
  title="Model-Based Trajectory Prediction and Hitting Velocity Control for a New Table Tennis Robot", 
  year="2021"
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     @InProceedings{Zhang_2021_IROS,
  author="Zhang, Dianhao and Vien, Ngo Anh and Van, Mien and McLoone, Seán",
  booktitle="IROS", 
  title="Non-local Graph Convolutional Network for Joint Activity Recognition and Motion Prediction", 
  year="2021"
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     @InProceedings{Su_2021_IROS_2,
  author="Su, Zhaoen and Wang, Chao and Cui, Henggang and Djuric, Nemanja and Vallespi-Gonzalez, Carlos and Bradley, David",
  booktitle="IROS", 
  title="Temporally-Continuous Probabilistic Prediction using Polynomial Trajectory Parameterization", 
  year="2021"
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      @InProceedings{Yu_2021_IROS,
  author="Yu, Hongxiang and Guo, Dashun and Yin, Huan and Chen, Anzhe and Xu, Kechun and Chen, Zexi and Wang, Minhang and Tan, Qimeng and Wang, Yue and Xiong, Rong",
  booktitle="IROS", 
  title="Neural Motion Prediction for In-flight Uneven Object Catching", 
  year="2021"
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       @InProceedings{Gao_2021_IROS,
  author="Gao, Xiaojie and Jin, Yueming and Dou, Qi and Fu, Chi-Wing and Heng, Pheng-Ann",
  booktitle="IROS", 
  title="Accurate Grid Keypoint Learning for Efficient Video Prediction", 
  year="2021"
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         @InProceedings{Rella_2021_IROS,
  author="Rella, Edoardo Mello and Zaech, Jan-Nico and Liniger, Alexander and Van Gool, Luc",
  booktitle="IROS", 
  title="Decoder {Fusion RNN}: Context and Interaction Aware Decoders for Trajectory Prediction", 
  year="2021"
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         @InProceedings{Zhu_2021_IROS,
  author="Zhu, Haibei and Misu, Teruhisa and Martin, Sujitha and Wu, Xingwei and Akash, Kumar",
  booktitle="IROS", 
  title="Improving Driver Situation Awareness Prediction using Human Visual Sensory and Memory Mechanism", 
  year="2021"
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         @InProceedings{Bhujel_2021_IROS,
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  title="Self-critical Learning of Influencing Factors for Trajectory Prediction using Gated Graph Convolutional Network", 
  year="2021"
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         @InProceedings{Scholler_2021_IROS,
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  title="{FloMo}: Tractable Motion Prediction with Normalizing Flows", 
  year="2021"
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  year="2021"
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@mastersthesis{Aizeboje_2016_masc,
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  @InProceedings{Xu_2022_ECCV,
    author    = "Pei Xu and Jean-Bernard Hayet and Ioannis Karamouzas",
    title     = "{SocialVAE}: Human Trajectory Prediction Using Timewise Latents",
    booktitle = "ECCV",
    year      = "2022"
}

@InProceedings{Cao_2022_ECCV,
    author    = "Yulong Cao and Chaowei Xiao and Anima Anandkumar and Danfei Xu and Marco Pavone",
    title     = "{AdvDO}: Realistic Adversarial Attacks for Trajectory Prediction",
    booktitle = "ECCV",
    year      = "2022"
}

@InProceedings{Sun_2022_ECCV,
    author    = "Xiaoning Sun and Qiongjie Cui and Huaijiang Sun and Bin Li and Weiqing Li and Jianfeng Lu",
    title     = "Overlooked Poses Actually Make Sense: Distilling Privileged Knowledge for Human Motion Prediction",
    booktitle = "ECCV",
    year      = "2022"  
}

@InProceedings{Li_2022_ECCV,
    author    = "Maosen Li and Siheng Chen and Zijing Zhang and Lingxi Xie and Qi Tian and Ya Zhang",
    title     = "Skeleton-Parted Graph Scattering Networks for {3D} Human Motion Prediction",
    booktitle = "ECCV",
    year      = "2022"  
}

@InProceedings{Zhang_2022_ECCV,
    author    = "Yuzhen Zhang and Wentong Wang and Weizhi Guo and Pei Lv and Mingliang Xu and Wei Chen and Dinesh Manocha",
    title     = "{D2-TPred}: Discontinuous Dependency for Trajectory Prediction under Traffic Lights",
    booktitle = "ECCV",
    year      = "2022"  
}

@InProceedings{Zhang_2022_ECCV_2,
    author    = "Yang Zheng and Yanchao Yang and Kaichun Mo and Jiaman Li and Tao Yu and Yebin Liu and Karen Liu and Leonidas J. Guibas",
    title     = "{GIMO}: Gaze-Informed Human Motion Prediction in Context",
    booktitle = "ECCV",
    year      = "2022"  
}

@InProceedings{Tsao_2022_ECCV,
    author    = "Li-Wu Tsao and Yan-Kai Wang and Hao-Siang Lin and Hong-Han Shuai and Lai-Kuan Wong and Wen-Huang Cheng",
    title     = "{Social-SSL}: Self-Supervised Cross-Sequence Representation Learning Based on Transformers for Multi-agent Trajectory Prediction",
    booktitle = "ECCV",
    year      = "2022"  
}

@InProceedings{Xu_2022_ECCV_2,
    author    = "Sirui Xu and Yu-Xiong Wang and Liang-Yan Gui",
    title     = "Diverse Human Motion Prediction Guided by Multi-level Spatial-Temporal Anchors",
    booktitle = "ECCV",
    year      = "2022"  
}

@InProceedings{Bae_2022_ECCV,
    author    = "Inhwan Bae and Jin-Hwi Park and Hae-Gon Jeon",
    title     = "Learning Pedestrian Group Representations for Multi-modal Trajectory Prediction",
    booktitle = "ECCV",
    year      = "2022"  
}

@InProceedings{Mohamed_2022_ECCV,
    author    = "Abduallah Mohamed and Deyao Zhu and Warren Vu and Mohamed Elhoseiny and Christian Claudel",
    title     = "{Social-Implicit}: Rethinking Trajectory Prediction Evaluation and the Effectiveness of Implicit Maximum Likelihood Estimation",
    booktitle = "ECCV",
    year      = "2022"  
}

@InProceedings{Chen_2022_ECCV,
    author    = "Yu-Wen Chen and Hsuan-Kung Yang and Chu-Chi Chiu and Chun-Yi Lee",
    title     = "{S2F2}: Single-Stage Flow Forecasting for Future Multiple Trajectories Prediction",
    booktitle = "ECCV",
    year      = "2022"  
}
@InProceedings{Wong_2022_ECCV,
    author    = "Conghao Wong and Beihao Xia and Ziming Hong and Qinmu Peng and Wei Yuan and Qiong Cao and Yibo Yang and Xinge You",
    title     = "View Vertically: A Hierarchical Network for Trajectory Prediction via Fourier Spectrums",
    booktitle = "ECCV",
    year      = "2022"  
}

@InProceedings{Yue_2022_ECCV,
    author    = "Jiangbei Yue and Dinesh Manocha and He Wang",
    title     = "Human Trajectory Prediction via Neural Social Physics",
    booktitle = "ECCV",
    year      = "2022"  
}

@InProceedings{Foo_2022_ECCV,
    author    = "Lin Geng Foo and Tianjiao Li and Hossein Rahmani and Qiuhong Ke and Jun Liu",
    title     = "{ERA}: Expert Retrieval and Assembly for Early Action Prediction",
    booktitle = "ECCV",
    year      = "2022"  
}

@InProceedings{Najibi_2022_ECCV,
    author    = "Mahyar Najibi and Jingwei Ji and Yin Zhou and Charles R. Qi and Xinchen Yan and Scott Ettinger and Dragomir Anguelov",
    title     = "Motion Inspired Unsupervised Perception and Prediction in Autonomous Driving",
    booktitle = "ECCV",
    year      = "2022"  
}

@InProceedings{Akan_2022_ECCV,
    author    = "Adil Kaan Akan and Fatma Guney",
    title     = "{StretchBEV}: Stretching Future Instance Prediction Spatially and Temporally",
    booktitle = "ECCV",
    year      = "2022"  
}

@InProceedings{Halawa_2022_ECCV,
    author    = "Marah Halawa and Olaf Hellwich and Pia Bideau",
    title     = "Action-Based Contrastive Learning for Trajectory Prediction",
    booktitle = "ECCV",
    year      = "2022"  
}

@InProceedings{Nawhal_2022_ECCV,
    author    = "Megha Nawhal and Akash Abdu Jyothi and Greg Mori",
    title     = "Rethinking Learning Approaches for Long-Term Action Anticipation",
    booktitle = "ECCV",
    year      = "2022"  
}

@InProceedings{Choi_2022_ECCV,
    author    = "Dooseop Choi and KyoungWook Min",
    title     = "Hierarchical Latent Structure for Multi-modal Vehicle Trajectory Forecasting",
    booktitle = "ECCV",
    year      = "2022"  
}

@InProceedings{Wen_2022_ECCV,
    author    = "Song Wen and Hao Wang and Dimitris N. Metaxas",
    title     = "{Social ODE}: Multi-agent Trajectory Forecasting with Neural Ordinary Differential Equations",
    booktitle = "ECCV",
    year      = "2022"  
}

@InProceedings{Zhong_2022_ECCV,
    author    = "Yiqi Zhong and Zhenyang Ni and Siheng Chen and Ulrich Neumann",
    title     = "Aware of the History: Trajectory Forecasting with the Local Behavior Data",
    booktitle = "ECCV",
    year      = "2022"  
}

@InProceedings{Weng_2022_ECCV,
    author    = "Xinshuo Weng and Junyu Nan and Kuan-Hui Lee and Rowan McAllister and Adrien Gaidon and Nicholas Rhinehart and Kris M. Kitani",
    title     = "{S2Net}: Stochastic Sequential Pointcloud Forecasting",
    booktitle = "ECCV",
    year      = "2022"  
}

@InProceedings{Sampieri_2022_ECCV,
    author    = "Alessio Sampieri and Guido Maria D’Amely di Melendugno and Andrea Avogaro and Federico Cunico and Francesco Setti and Geri Skenderi and Marco Cristani and Fabio Galasso",
    title     = "Pose Forecasting in Industrial Human-Robot Collaboration",
    booktitle = "ECCV",
    year      = "2022"  
}


@InProceedings{Khurana_2022_ECCV,
    author    = "Tarasha Khurana and Peiyun Hu and Achal Dave and Jason Ziglar and David Held and Deva Ramanan",
    title     = "Differentiable Raycasting for Self-Supervised Occupancy Forecasting",
    booktitle = "ECCV",
    year      = "2022"  
}

@InProceedings{Mao_2021_NIPS,
    author    = "Mao, Jiageng and Minzhe, Niu and Jiang, ChenHan and liang, hanxue and Chen, Jingheng and Liang, Xiaodan and Li, Yamin and Ye, Chaoqiang and Zhang, Wei and Li, Zhenguo and Yu, Jie and XU, Chunjing and Xu, Hang",
    title     = "One Million Scenes for Autonomous Driving: {ONCE} Dataset",
    booktitle = "NeurIPS",
    year      = "2021"  
}



@InProceedings{Jia_2022_ECCV,
    author    = "Wenqi Jia and Miao Liu and James M. Rehg",
    title     = "Generative Adversarial Network for Future Hand Segmentation from Egocentric Video",
    booktitle = "ECCV",
    year      = "2022"  
}

@InProceedings{Krajewski_2020_ITSC,
    author    = "Krajewski, Robert and Moers, Tobias and Bock, Julian and Vater, Lennart and Eckstein, Lutz",
    title     = "The {rounD} Dataset: A Drone Dataset of Road User Trajectories at Roundabouts in {Germany}",
    booktitle = "ITSC",
    year      = "2020"  
}


@InProceedings{Girgis_2022_ICLR,
title="Latent Variable Sequential Set Transformers for Joint Multi-Agent Motion Prediction",
author="Roger Girgis and Florian Golemo and Felipe Codevilla and Martin Weiss and Jim Aldon D'Souza and Samira Ebrahimi Kahou and Felix Heide and Christopher Pal",
booktitle="ICLR",
year="2022"
}

@InProceedings{Ngiam_2022_ICLR,
title="{Scene Transformer}: A Unified Architecture for Predicting Future Trajectories of Multiple Agents",
author="Jiquan Ngiam and Vijay Vasudevan and Benjamin Caine and Zhengdong Zhang and Hao-Tien Lewis Chiang and Jeffrey Ling and Rebecca Roelofs and Alex Bewley and Chenxi Liu and Ashish Venugopal and David J Weiss and Ben Sapp and Zhifeng Chen and Jonathon Shlens",
booktitle="ICLR",
year="2022"
}

@InProceedings{Makansi_2022_ICLR,
title="You Mostly Walk Alone: Analyzing Feature Attribution in Trajectory Prediction",
author="Osama Makansi and Julius Von Kugelgen and Francesco Locatello and Peter Vincent Gehler and Dominik Janzing and Thomas Brox and Bernhard Scholkopf",
booktitle="ICLR",
year="2022"
}

@InProceedings{Meng_2022_NeurIPS,
title="Forecasting Human Trajectory from Scene History",
author="Mancheng Meng and Ziyan Wu and Terrence Chen and Xiran Cai and Xiang Sean Zhou and Fan Yang and Dinggang Shen",
booktitle="NeurIPS",
year="2022"
}
@InProceedings{Mao_2022_NeurIPS,
title="Contact-aware Human Motion Forecasting",
author="Wei Mao and miaomiao Liu and Richard Hartley and Mathieu Salzmann",
booktitle="NeurIPS",
year="2022"
}

@InProceedings{Dendorfer_2022_NeurIPS,
title="{Quo Vadis}: Is Trajectory Forecasting the Key Towards Long-Term Multi-Object Tracking?",
author="Patrick Dendorfer and Vladimir Yugay and Aljosa Osep and Laura Leal-Taix{\'e}",
booktitle="NeurIPS",
year="2022"
}
@InProceedings{Fassmeyer_2022_NeurIPS,
title="Semi-Supervised Generative Models for Multiagent Trajectories",
author="Dennis Fassmeyer and Pascal Fassmeyer and Ulf Brefeld",
booktitle="NeurIPS",
year="2022"
}
@InProceedings{Fobi_2022_WACV,
    author    = "Fobi, Simone and Mugyenyi, Joel and Williams, Nathaniel J. and Modi, Vijay and Taneja, Jay",
    title     = "Predicting Levels of Household Electricity Consumption in Low-Access Settings",
    booktitle = "WACV",
    year      = "2022"
}
@InProceedings{Fadadu_2022_WACV,
    author    = "Fadadu, Sudeep and Pandey, Shreyash and Hegde, Darshan and Shi, Yi and Chou, Fang-Chieh and Djuric, Nemanja and Vallespi-Gonzalez, Carlos",
    title     = "Multi-View Fusion of Sensor Data for Improved Perception and Prediction in Autonomous Driving",
    booktitle = "WACV",
    year      = "2022"
}
@InProceedings{Roy_2022_WACV,
    author    = "Roy, Debaditya and Fernando, Basura",
    title     = "Action Anticipation Using Latent Goal Learning",
    booktitle = "WACV",
    year      = "2022"
}

@Misc{SDO_2020,
    author = "Observatory, Solar Dynamics",
    Title = "The Sun Now",
    HowPublished = "Online",
    accessed = "2022-12-16",
    year = "2020"
}
@InProceedings{Kaneda_2022_ACCV,
    author    = "Kaneda, Kanta and Wada, Yuiga and Iida, Tsumugi and Nishizuka, Naoto and Kubo, Y\^uki and Sugiura, Komei",
    title     = "{Flare Transformer}: Solar Flare Prediction using Magnetograms and Sunspot Physical Features",
    booktitle = "ACCV",
    year      = "2022"
}
@InProceedings{Xie_2022_ACCV,
    author    = "Xie, Ce and Li, Yuanman and Liang, Rongqin and Dong, Li and Li, Xia",
    title     = "Synchronous Bi-Directional Pedestrian Trajectory Prediction with Error Compensation",
    booktitle = "ACCV",
    year      = "2022"
}
@InProceedings{Zhai_2022_ACCV,
    author    = "Zhai, Xiaolin and Hu, Zhengxi and Yang, Dingye and Zhou, Lei and Liu, Jingtai",
    title     = "Social Aware Multi-Modal Pedestrian Crossing Behavior Prediction",
    booktitle = "ACCV",
    year      = "2022"
}
@InProceedings{Ben_Zikri_2022_ACCV,
    author    = "Ben Zikri, Nir and Sharf, Andrei",
    title     = "{PhyLoNet}: Physically-Constrained Long Term Video Prediction",
    booktitle = "ACCV",
    year      = "2022"
}

@InProceedings{Villar-Corrales_2022_BMVC,
author    = "Angel Villar-Corrales and Ani Karapetyan and Andreas Boltres and Sven Behnke",
title     = "{MSPred}: Video Prediction at Multiple Spatio-Temporal Scales with Hierarchical Recurrent Networks",
booktitle = "BMVC",
year      = "2022"
}
@InProceedings{Pourheydari_2022_BMVC,
author    = "Mohammad Saber Pourheydari and Emad Bahrami and Mohsen Fayyaz and Gianpiero Francesca and Mehdi Noroozi and Jürgen Gall",
title     = "{TaylorSwiftNet}: Taylor Driven Temporal Modeling for Swift Future Frame Prediction",
booktitle = "BMVC",
year      = "2022"
}

@InProceedings{Wang_2022_BMVC,
author    = "Junyan Wang and Qin Likun and Peng Zhang and Yang Long and Bingzhang Hu and Maurice Pagnucco and Shizheng Wang and Yang Song",
title     = "Towards Unified Multi-Excitation for Unsupervised Video Prediction",
booktitle = "BMVC",
year      = "2022"
}

@InProceedings{Cao_2022_CoRL,
title="Robust Trajectory Prediction against Adversarial Attacks",
author="Yulong Cao and Danfei Xu and Xinshuo Weng and Zhuoqing Mao and Anima Anandkumar and Chaowei Xiao and Marco Pavone",
booktitle="CoRL",
year="2022"
}

@InProceedings{Nishimura_2022_CoRL,
title="{RAP}: Risk-Aware Prediction for Robust Planning",
author="Haruki Nishimura and Jean Mercat and Blake Wulfe and Rowan Thomas McAllister and Adrien Gaidon",
booktitle="CoRL",
year="2022"
}
@InProceedings{Jia_2022_CoRL,
title="Towards Capturing the Temporal Dynamics for Trajectory Prediction: a Coarse-to-Fine Approach",
author="Xiaosong Jia and Li Chen and Penghao Wu and Jia Zeng and Junchi Yan and Hongyang Li and Yu Qiao",
booktitle="CoRL",
year="2022"
}

@InProceedings{Itkina_2022_CoRL,
title="Interpretable Self-Aware Neural Networks for Robust Trajectory Prediction",
author="Masha Itkina and Mykel Kochenderfer",
booktitle="CoRL",
year="2022"
}
@InProceedings{Luo_2022_CoRL,
title="{JFP}: Joint Future Prediction with Interactive Multi-Agent Modeling for Autonomous Driving",
author="Wenjie Luo and Cheol Park and Andre Cornman and Benjamin Sapp and Dragomir Anguelov",
booktitle="CoRL",
year="2022"
}
@InProceedings{Bhattacharyya_2022_CoRL,
title="{SSL}-Lanes: Self-Supervised Learning for Motion Forecasting in Autonomous Driving",
author="Prarthana Bhattacharyya and Chengjie Huang and Krzysztof Czarnecki",
booktitle="CoRL",
year="2022"
}
@InProceedings{Kothari_2022_CoRL,
title="Motion Style Transfer: Modular Low-Rank Adaptation for Deep Motion Forecasting",
author="Parth Kothari and Danya Li and Yuejiang Liu and Alexandre Alahi",
booktitle="CoRL",
year="2022"
}


@InProceedings{Park_2020_RSS, 
    AUTHOR    = "Jaesung Park AND Dinesh Manocha", 
    TITLE     = "{HMPO}: Human Motion Prediction in Occluded Environments for Safe Motion Planning", 
    BOOKTITLE = "RSS", 
    YEAR      = "2020" 

} 

@InProceedings{Sun_2021_RSS, 
    AUTHOR    = "Liting Sun AND Xiaogang Jia AND Anca Dragan", 
    TITLE     = "On Complementing End-to-end Human Behavior Predictors with Planning", 
    BOOKTITLE = "RSS", 
    YEAR      = "2021"
} 

@InProceedings{Deo_2021_CoRL,
title="Multimodal Trajectory Prediction Conditioned on Lane-Graph Traversals",
author="Nachiket Deo and Eric Wolff and Oscar Beijbom",
booktitle="CoRL",
year="2021"
}

@InProceedings{Wang_2021_CoRL,
title="Group-based Motion Prediction for Navigation in Crowded Environments",
author="Allan Wang and Christoforos Mavrogiannis and Aaron Steinfeld",
booktitle="CoRL",
year="2021"
}

@InProceedings{Jia_2021_CoRL,
title="Multi-Agent Trajectory Prediction by Combining Egocentric and Allocentric Views",
author="Xiaosong Jia and Liting Sun and Hang Zhao and Masayoshi Tomizuka and Wei Zhan",
booktitle="CoRL",
year="2021"
}

@InProceedings{Mersch_2021_CoRL,
title="Self-supervised Point Cloud Prediction Using {3D} Spatio-temporal Convolutional Networks",
author="Benedikt Mersch and Xieyuanli Chen and Jens Behley and Cyrill Stachniss",
booktitle="CoRL",
year="2021"
}
@InProceedings{Zhu_2021_CoRL,
title="Motion Forecasting with Unlikelihood Training in Continuous Space",
author="Deyao Zhu and Mohamed Zahran and Li Erran Li and Mohamed Elhoseiny",
booktitle="CoRL",
year="2021"
}
@InProceedings{Song_2021_CoRL,
title="Learning to Predict Vehicle Trajectories with Model-based Planning",
author="Haoran Song and Di Luan and Wenchao Ding and Michael Y Wang and Qifeng Chen",
booktitle="CoRL",
year="2021"
}


@InProceedings{Guo_2022_ICRA,
  author="Guo, Dongxu and Mordan, Taylor and Alahi, Alexandre",
  booktitle="ICRA", 
  title="Pedestrian Stop and Go Forecasting with Hybrid Feature Fusion", 
  year="2022"
  }


@InProceedings{Liao_2022_ICRA,
  author="Liao, Xishun and Wang, Ziran and Zhao, Xuanpeng and Zhao, Zhouqiao and Han, Kyungtae and Tiwari, Prashant and Barth, Matthew J. and Wu, Guoyuan",
  booktitle="ICRA", 
  title="Online Prediction of Lane Change with a Hierarchical Learning-Based Approach", 
  year="2022"
  }
  
  @InProceedings{Ivanovic_2022_ICRA,
  author="Ivanovic, Boris and Lin, Yifeng and Shrivastava, Shubham and Chakravarty, Punarjay and Pavone, Marco",
  booktitle="ICRA", 
  title="Propagating State Uncertainty Through Trajectory Forecasting", 
  year="2022"
  }
  
  @InProceedings{Patrikar_2022_ICRA,
  author="Patrikar, Jay and Moon, Brady and Oh, Jean and Scherer, Sebastian",
  booktitle="ICRA", 
  title="Predicting Like A Pilot: Dataset and Method to Predict Socially-Aware Aircraft Trajectories in Non-Towered Terminal Airspace", 
  year="2022"
  }
  
  @InProceedings{Huang_2022_ICRA,
  author="Huang, Zhiyu and Mo, Xiaoyu and Lv, Chen",
  booktitle="ICRA", 
  title="Multi-modal Motion Prediction with Transformer-based Neural Network for Autonomous Driving", 
  year="2022"
  }
  
  @InProceedings{McAllister_2022_ICRA,
  author="McAllister, Rowan and Wulfe, Blake and Mercat, Jean and Ellis, Logan and Levine, Sergey and Gaidon, Adrien",
  booktitle="ICRA", 
  title="Control-Aware Prediction Objectives for Autonomous Driving", 
  year="2022"
  }
  
  @InProceedings{Da_2022_ICRA,
  author="Da, Fang and Zhang, Yu",
  booktitle="ICRA", 
  title="Path-Aware Graph Attention for HD Maps in Motion Prediction", 
  year="2022"
  }
  
  @InProceedings{Schmidt_2022_ICRA,
  author="Schmidt, Julian and Jordan, Julian and Gritschneder, Franz and Dietmayer, Klaus",
  booktitle="ICRA", 
  title="{CRAT-Pred}: Vehicle Trajectory Prediction with Crystal Graph Convolutional Neural Networks and Multi-Head Self-Attention", 
  year="2022"
  }
  
  @InProceedings{Hu_2022_ICRA,
  author="Hu, Yeping and Jia, Xiaogang and Tomizuka, Masayoshi and Zhan, Wei",
  booktitle="ICRA", 
  title="Causal-based Time Series Domain Generalization for Vehicle Intention Prediction", 
  year="2022"
  }  
  
  @InProceedings{Varadarajan_2022_ICRA,
  author="Varadarajan, Balakrishnan and Hefny, Ahmed and Srivastava, Avikalp and Refaat, Khaled S. and Nayakanti, Nigamaa and Cornman, Andre and Chen, Kan and Douillard, Bertrand and Lam, Chi Pang and Anguelov, Dragomir and Sapp, Benjamin",
  booktitle="ICRA", 
  title="{MultiPath++}: Efficient Information Fusion and Trajectory Aggregation for Behavior Prediction", 
  year="2022"
  }
  
  @InProceedings{Razali_2022_ICRA,
  author="Razali, Haziq and Demiris, Yiannis",
  booktitle="ICRA", 
  title="Using Eye Gaze to Forecast Human Pose in Everyday Pick and Place Actions", 
  year="2022"
  }
  
  @article{Kratzer_2020_RAL,
  title="{MoGaze}: A Dataset of Full-Body Motions that Includes Workspace Geometry and Eye-Gaze",
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@InProceedings{Kamenev_2022_ICRA,
  author="Kamenev, Alexey and Wang, Lirui and Bohan, Ollin Boer and Kulkarni, Ishwar and Kartal, Bilal and Molchanov, Artem and Birchfield, Stan and Nistér, David and Smolyanskiy, Nikolai",
  booktitle="ICRA", 
  title="{PredictionNet}: Real-Time Joint Probabilistic Traffic Prediction for Planning, Control, and Simulation", 
  year="2022"
  }
  
  @InProceedings{Kim_2022_ICRA,
  author="Kim, Jinkyu and Mahjourian, Reza and Ettinger, Scott and Bansal, Mayank and White, Brandyn and Sapp, Ben and Anguelov, Dragomir",
  booktitle="ICRA", 
  title="{StopNet}: Scalable Trajectory and Occupancy Prediction for Urban Autonomous Driving", 
  year="2022"
  }  
  
  @InProceedings{Hasan_2022_ICRA,
  author="Hasan, Aamir and Sriram, Pranav and Driggs-Campbell, Katherine",
  booktitle="ICRA", 
  title="Meta-path Analysis on Spatio-Temporal Graphs for Pedestrian Trajectory Prediction", 
  year="2022"
  }
  
  @InProceedings{Su_2022_ICRA,
  author="Su, DiJia Andy and Douillard, Bertrand and Al-Rfou, Rami and Park, Cheol and Sapp, Benjamin",
  booktitle="ICRA", 
  title="Narrowing the Coordinate-frame Gap in Behavior Prediction Models: Distillation for Efficient and Accurate Scene-centric Motion Forecasting", 
  year="2022"
  }
  
  @InProceedings{Zhou_2022_ICRA,
  author="Zhou, Rui and Zhou, Hongyu and Gao, Huidong and Tomizuka, Masayoshi and Li, Jiachen and Xu, Zhuo",
  booktitle="ICRA", 
  title="Grouptron: Dynamic Multi-Scale Graph Convolutional Networks for Group-Aware Dense Crowd Trajectory Forecasting", 
  year="2022"
  }
  
  @InProceedings{Kuo_2022_ICRA,
  author="Kuo, Yen-Ling and Huang, Xin and Barbu, Andrei and McGill, Stephen G. and Katz, Boris and Leonard, John J. and Rosman, Guy",
  booktitle="ICRA", 
  title="Trajectory Prediction with Linguistic Representations", 
  year="2022"
  }
  
  @InProceedings{Gilles_2022_ICRA,
  author="Gilles, Thomas and Sabatini, Stefano and Tsishkou, Dzmitry and Stanciulescu, Bogdan and Moutarde, Fabien",
  booktitle="ICRA", 
  title="{GOHOME}: Graph-Oriented Heatmap Output for future Motion Estimation", 
  year="2022"
  }
  
  @InProceedings{Cao_2022_ICRA,
  author="Cao, Zhangjie and Biyik, Erdem and Rosman, Guy and Sadigh, Dorsa",
  booktitle="ICRA", 
  title="Leveraging Smooth Attention Prior for Multi-Agent Trajectory Prediction", 
  year="2022"
  }
  
  @InProceedings{Lu_2022_ICRA,
  author="Lu, Qiujing and Han, Weiqiao and Ling, Jeffrey and Wang, Minfa and Chen, Haoyu and Varadarajan, Balakrishnan and Covington, Paul",
  booktitle="ICRA", 
  title="{KEMP}: Keyframe-Based Hierarchical End-to-End Deep Model for Long- Term Trajectory Prediction", 
  year="2022"
  }
  
  
  
  
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    author = "Sadeghian, Amir and Legros, Ferdinand and Voisin, Maxime and Vesel, Ricky and Alahi, Alexandre and Savarese, Silvio",
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    booktitle = "ECCV",
    year = "2018"
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title="Generating Multi-agent Trajectories using Programmatic Weak Supervision",
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@InProceedings{Bhattacharyya_2018_CVPR_2,
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@InProceedings{Zeng_2019_CVPR,
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@InProceedings{Ivanovic_2019_ICCV,
author = "Ivanovic, Boris and Pavone, Marco",
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  author="Zhou, Lei and Yang, Dingye and Zhai, Xiaolin and Wu, Shichao and Hu, ZhengXi and Liu, Jingtai",
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  title="{GA-STT}: Human Trajectory Prediction with Group Aware Spatial-temporal Transformer", 
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  @Article{Lei_2022_RAL,
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@InProceedings{Strohbeck_2022_IROS,
  author="Strohbeck, Jan and Muller, Johannes and Herrmann, Martin and Buchholz, Michael",
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  title="Deep Kernel Learning for Uncertainty Estimation in Multiple Trajectory Prediction Networks", 
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  author="Sur, Lingfeng and Tang, Chen and Niu, Yaru and Sachdeva, Enna and Choi, Chiho and Misu, Teruhisa and Tomizuka, Masayoshi and Zhan, Wei",
  booktitle="IROS", 
  title="Domain Knowledge Driven Pseudo Labels for Interpretable Goal-conditioned Interactive Trajectory Prediction", 
  year="2022"
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    @InProceedings{Toyungyernsub_2022_IROS,
  author="Toyungyernsub, Maneekwan and Yel, Esen and Li, Jiachen and Kochenderfer, Mykel J",
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  title="Dynamics-Aware Spatiotemporal Occupancy Prediction in Urban Environments", 
  year="2022"
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  @Article{Li_2022_RAL,
  author="Li, Chenran and Trinh, Tu and Wang, Letian and Liu, Changliu and Tomizuka, Masayoshi and Zhan, Wei",
  journal="RAL", 
  title="Efficient Game-Theoretic Planning With Prediction Heuristic for Socially-Compliant Autonomous Driving", 
  volume="7",
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  pages="10248--10255",
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      @Article{Qiu_2022_RAL,
  author="Qiu, Jianing and Chen, Lipeng and Gu, Xiao and Lo, Frank P-W and Tsai, Ya-Yen and Sun, Jiankai and Liu, Jiaqi and Lo, Benny",
  journal="RAL", 
  title="Egocentric Human Trajectory Forecasting with a Wearable Camera and Multi-modal Fusion", 
  volume="7",
  number="4",  
  pages="8799--8806",
  year="2022"
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      @InProceedings{Qiu_2021_IROS,
  author="Qiu, Jianing and Lo, Frank P-W and Gu, Xiao and Sun, Yingnan and Jiang, Shuo and Lo, Benny",
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  title="Indoor Future Person Localization from an Egocentric Wearable Camera", 
  year="2021"
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      @InProceedings{Antonello_2022_IROS,
  author="Antonello, Morris and Dobre, Mihai and Albrecht, Stefano V and Redford, John and Ramamoorthy, Subramanian",
  booktitle="IROS", 
  title="Flash: Fast and Light Motion Prediction for Autonomous Driving with Bayesian Inverse Planning and Learned Motion Profiles", 
  year="2022"
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        @InProceedings{Lu_2022_IROS,
  author="Lu, Juanwu and Zhan, Wei and Tomizuka, Masayoshi and Hu, Yeping",
  booktitle="IROS", 
  title="Generalizability Analysis of Graph-based Trajectory Predictor with Vectorized Representation", 
  year="2022"
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        @InProceedings{Ivanovic_2022_IROS,
  author="Ivanovic, Boris and Lee, Kuan-Hui and Tokmakov, Pavel and Wulfe, Blake and Mcllister, Rowan and Gaidon, Adrien and Pavone, Marco",
  booktitle="IROS", 
  title="Heterogeneous-agent Trajectory Forecasting Incorporating Class Uncertainty", 
  year="2022"
  }
  
@InProceedings{Chen_2022_IROS,
  author="Chen, Yuying and Liu, Congcong and Mei, Xiaodong and Shi, Bertram E. and Liu, Ming",
  booktitle="IROS", 
  title="{HGCN-GJS}: Hierarchical Graph Convolutional Network with Groupwise Joint Sampling for Trajectory Prediction", 
  year="2022"
  }
  
  @InProceedings{Tang_2022_IROS,
  author="Tang, Chen and Zhan, Wei and Tomizuka, Masayoshi",
  booktitle="IROS", 
  title="Interventional Behavior Prediction: Avoiding Overly Confident Anticipation in Interactive Prediction", 
  year="2022"
  }
  
    @InProceedings{Mitjans_2022_IROS,
  author="Mitjans, Marc and Levine, David M. and Awad, Louis N. and Tron, Roberto",
  booktitle="IROS", 
  title="Koopman Pose Predictions for Temporally Consistent Human Walking Estimations", 
  year="2022"
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      @InProceedings{Arbabi_2022_IROS,
  author="Arbabi, Salar and Tavernini, Davide and Fallah, Saber and Bowden, Richard",
  booktitle="IROS", 
  title="Learning an Interpretable Model for Driver Behavior Prediction with Inductive Biases", 
  year="2022"
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        @InProceedings{Bhatt_2022_IROS,
  author="Bhatt, Neel P and Khajepour, Amir and Hashemi, Ehsan",
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  title="{MPC-PF}: Social Interaction Aware Trajectory Prediction of Dynamic Objects for Autonomous Driving Using Potential Fields", 
  year="2022"
  }  

        @InProceedings{Song_2022_IROS,
  author="Song, Xingchen and Kang, Miao and Zhou, Sanping and Wang, Jianji and Mao, Yishu and Zheng, Nanning",
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  title="Pedestrian Intention Prediction Based on Traffic-Aware Scene Graph Model", 
  year="2022"
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      @Article{Zhang_2022_RAL,
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      @Article{Wang_2022_RAL,
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        @InProceedings{Shi_2022_IROS,
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         @InProceedings{Navarro_2022_IROS,
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      @Article{Zhao_2021_RAL,
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         @InProceedings{Nematollahi_2022_IROS,
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           @InProceedings{Jiao_2022_IROS,
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  title="{TAE}: A Semi-supervised Controllable Behavior-aware Trajectory Generator and Predictor", 
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           @InProceedings{Zhang_2022_IROS,
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@InProceedings{Barquero_2023_ICCV,
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    author    = "Choi, Sehwan and Kim, Jungho and Yun, Junyong and Choi, Jun Won",
    title     = "R-Pred: Two-Stage Motion Prediction Via Tube-Query Attention-Based Trajectory Refinement",
    booktitle = "ICCV",
    year      = "2023"
}
@InProceedings{Zhu_2023_ICCV,
    author    = "Zhu, Yiyao and Luan, Di and Shen, Shaojie",
    title     = "BiFF: Bi-level Future Fusion with Polyline-based Coordinate for Interactive Trajectory Prediction",
    booktitle = "ICCV",
    year      = "2023"
}
@InProceedings{Aydemir_2023_ICCV,
    author    = "Aydemir, Gorkay and Akan, Adil Kaan and Guney, Fatma",
    title     = "ADAPT: Efficient Multi-Agent Trajectory Prediction with Adaptation",
    booktitle = "ICCV",
    year      = "2023"
}
@InProceedings{Dong_2023_ICCV,
    author    = "Dong, Yonghao and Wang, Le and Zhou, Sanping and Hua, Gang",
    title     = "Sparse Instance Conditioned Multimodal Trajectory Prediction",
    booktitle = "ICCV",
    year      = "2023"
}
@InProceedings{Chen_2023_ICCV_1,
    author    = "Chen, Ling-Hao and Zhang, JiaWei and Li, Yewen and Pang, Yiren and Xia, Xiaobo and Liu, Tongliang",
    title     = "HumanMAC: Masked Motion Completion for Human Motion Prediction",
    booktitle = "ICCV",
    year      = "2023"
}
@InProceedings{Xu_2023_ICCV,
    author    = "Xu, Qingyao and Mao, Weibo and Gong, Jingze and Xu, Chenxin and Chen, Siheng and Xie, Weidi and Zhang, Ya and Wang, Yanfeng",
    title     = "Joint-Relation Transformer for Multi-Person Motion Prediction",
    booktitle = "ICCV",
    year      = "2023"
}
@InProceedings{Mao_2023_ICCV,
    author    = "Mao, Yunyao and Deng, Jiajun and Zhou, Wengang and Fang, Yao and Ouyang, Wanli and Li, Houqiang",
    title     = "Masked Motion Predictors are Strong 3D Action Representation Learners",
    booktitle = "ICCV",
    year      = "2023"
}
@InProceedings{Chen_2023_ICCV,
    author    = "Chen, Hao and Wang, Jiaze and Shao, Kun and Liu, Furui and Hao, Jianye and Guan, Chenyong and Chen, Guangyong and Heng, Pheng-Ann",
    title     = "Traj-MAE: Masked Autoencoders for Trajectory Prediction",
    booktitle = "ICCV",
    year      = "2023"
}

@InProceedings{Pourkeshavarz_2023_ICCV,
    author    = "Pourkeshavarz, Mozhgan and Chen, Changhe and Rasouli, Amir",
    title     = "Learn TAROT with MENTOR: A Meta-Learned Self-Supervised Approach for Trajectory Prediction",
    booktitle = "ICCV",
    year      = "2023"
}
@InProceedings{Maeda_2023_ICCV,
    author    = "Maeda, Takahiro and Ukita, Norimichi",
    title     = "Fast Inference and Update of Probabilistic Density Estimation on Trajectory Prediction",
    booktitle = "ICCV",
    year      = "2023"
}
@InProceedings{Jiao_2023_ICCV,
    author    = "Jiao, Ruochen and Liu, Xiangguo and Sato, Takami and Chen, Qi Alfred and Zhu, Qi",
    title     = "Semi-supervised Semantics-guided Adversarial Training for Robust Trajectory Prediction",
    booktitle = "ICCV",
    year      = "2023"
}
@InProceedings{Yan_2023_ICCV,
    author    = "Yan, Zhijie and Li, Pengfei and Fu, Zheng and Xu, Shaocong and Shi, Yongliang and Chen, Xiaoxue and Zheng, Yuhang and Li, Yang and Liu, Tianyu and Li, Chuxuan and Luo, Nairui and Gao, Xu and Chen, Yilun and Wang, Zuoxu and Shi, Yifeng and Huang, Pengfei and Han, Zhengxiao and Yuan, Jirui and Gong, Jiangtao and Zhou, Guyue and Zhao, Hang and Zhao, Hao",
    title     = "INT2: Interactive Trajectory Prediction at Intersections",
    booktitle = "ICCV",
    year      = "2023"
}
@InProceedings{Xu_2023_ICCV_1,
    author    = "Xu, Chenxin and Tan, Robby T. and Tan, Yuhong and Chen, Siheng and Wang, Xinchao and Wang, Yanfeng",
    title     = "Auxiliary Tasks Benefit 3D Skeleton-based Human Motion Prediction",
    booktitle = "ICCV",
    year      = "2023"
}
@InProceedings{Zhang_2023_ICCV,
    author    = "Zhang, Liang and Xu, Nathaniel and Yang, Pengfei and Jin, Gaojie and Huang, Cheng-Chao and Zhang, Lijun",
    title     = "TrajPAC: Towards Robustness Verification of Pedestrian Trajectory Prediction Models",
    booktitle = "ICCV",
    year      = "2023"
}
@InProceedings{Tanke_2023_ICCV,
    author    = "Tanke, Julian and Zhang, Linguang and Zhao, Amy and Tang, Chengcheng and Cai, Yujun and Wang, Lezi and Wu, Po-Chen and Gall, Juergen and Keskin, Cem",
    title     = "Social Diffusion: Long-term Multiple Human Motion Anticipation",
    booktitle = "ICCV",
    year      = "2023"
}
@InProceedings{Seff_2023_ICCV,
    author    = "Seff, Ari and Cera, Brian and Chen, Dian and Ng, Mason and Zhou, Aurick and Nayakanti, Nigamaa and Refaat, Khaled S. and Al-Rfou, Rami and Sapp, Benjamin",
    title     = "MotionLM: Multi-Agent Motion Forecasting as Language Modeling",
    booktitle = "ICCV",
    year      = "2023"
}
@InProceedings{Xing_2023_ICCV,
    author    = "Xing, Yucheng and Wang, Xin",
    title     = "HDG-ODE: A Hierarchical Continuous-Time Model for Human Pose Forecasting",
    booktitle = "ICCV",
    year      = "2023"
    }
@InProceedings{Ye_2023_ICCV,
    author    = "Ye, Maosheng and Xu, Jiamiao and Xu, Xunnong and Wang, Tengfei and Cao, Tongyi and Chen, Qifeng",
    title     = "Bootstrap Motion Forecasting With Self-Consistent Constraints",
    booktitle = "ICCV",
    year      = "2023"
}

@InProceedings{Bae_2023_ICCV,
    author    = "Bae, Inhwan and Oh, Jean and Jeon, Hae-Gon",
    title     = "EigenTrajectory: Low-Rank Descriptors for Multi-Modal Trajectory Forecasting",
    booktitle = "ICCV",
    year      = "2023"
}
@InProceedings{Choudhury_2023_ICCV,
    author    = "Choudhury, Rohan and Kitani, Kris M. and Jeni, Laszlo A.",
    title     = "TEMPO: Efficient Multi-View Pose Estimation, Tracking, and Forecasting",
    booktitle = "ICCV",
    year      = "2023"
}

@inproceedings {Belagian_2014_CVPR,
	title = "{3D} Pictorial Structures for Multiple Human Pose Estimation",
	author = "Belagiannis, Vasileios and Amin, Sikandar and Andriluka, Mykhaylo and Schiele, Bernt and Navab, Nassir and Ilic, Slobodan",
    booktitle = "CVPR",
    year      = "2014"
}
  @article{Khirodkar_2023_Arxiv,
          title= "EgoHumans: An Egocentric 3D Multi-Human Benchmark",
          author= "Khirodkar, Rawal and Bansal, Aayush and Ma, Lingni and Newcombe, Richard and Vo, Minh and Kitani, Kris",
          journal= "arXiv:2305.16487",
          year= "2023"
        }
@InProceedings{Bao_2023_ICCV,
    author    = "Bao, Wentao and Chen, Lele and Zeng, Libing and Li, Zhong and Xu, Yi and Yuan, Junsong and Kong, Yu",
    title     = "Uncertainty-aware State Space Transformer for Egocentric 3D Hand Trajectory Forecasting",
    booktitle = "ICCV",
    year      = "2023"
}
@InProceedings{Kwon_2021_ICCV,
author = "Kwon, Taein and Tekin, Bugra and Stuhmer, Jan and Bogo, Federica and Pollefeys, Marc",
title = "H2O: Two Hands Manipulating Objects for First Person Interaction Recognition",
    booktitle = "ICCV",
    year      = "2021"
}
@InProceedings{Cheng_2023_ICCV,
    author    = "Cheng, Jie and Mei, Xiaodong and Liu, Ming",
    title     = "Forecast-MAE: Self-supervised Pre-training for Motion Forecasting with Masked Autoencoders",
    booktitle = "ICCV",
    year      = "2023"
}
@InProceedings{Davtyan_2023_ICCV,
    author    = "Davtyan, Aram and Sameni, Sepehr and Favaro, Paolo",
    title     = "Efficient Video Prediction via Sparsely Conditioned Flow Matching",
    booktitle = "ICCV",
    year      = "2023"
}
@InProceedings{Xu_2023_ICCV_2,
    author    = "Xu, Yingxue and Chen, Hao",
    title     = "Multimodal Optimal Transport-based Co-Attention Transformer with Global Structure Consistency for Survival Prediction",
    booktitle = "ICCV",
    year      = "2023"
}
@InProceedings{Weng_2023_ICCV,
    author    = "Weng, Erica and Hoshino, Hana and Ramanan, Deva and Kitani, Kris",
    title     = "Joint Metrics Matter: A Better Standard for Trajectory Forecasting",
    booktitle = "ICCV",
    year      = "2023"
}


@InProceedings{Zheng_2023_WACV,
    author    = "Zheng, Zhihao and Ying, Xiaowen and Yao, Zhen and Chuah, Mooi Choo",
    title     = "Robustness of Trajectory Prediction Models Under Map-Based Attacks",
    booktitle = "WACV",
    year      = "2023"
}
@InProceedings{Huynh_2023_WACV,
    author    = "Huynh, Manh and Alaghband, Gita",
    title     = "Online Adaptive Temporal Memory With Certainty Estimation for Human Trajectory Prediction",
    booktitle = "WACV",
    year      = "2023"
}
@InProceedings{Guo_2023_WACV,
    author    = "Guo, Wen and Du, Yuming and Shen, Xi and Lepetit, Vincent and Alameda-Pineda, Xavier and Moreno-Noguer, Francesc",
    title     = "Back to MLP: A Simple Baseline for Human Motion Prediction",
    booktitle = "WACV",
    year      = "2023"
}
@InProceedings{Zhong_2023_WACV,
    author    = "Zhong, Zeyun and Schneider, David and Voit, Michael and Stiefelhagen, Rainer and Beyerer, Jurgen",
    title     = "Anticipative Feature Fusion Transformer for Multi-Modal Action Anticipation",
    booktitle = "WACV",
    year      = "2023"
}
@InProceedings{Mascaro_2023_WACV,
    author    = "Mascaro, Esteve Valls and Ahn, Hyemin and Lee, Dongheui",
    title     = "Intention-Conditioned Long-Term Human Egocentric Action Anticipation",
    booktitle = "WACV",
    year      = "2023"
}
@inproceedings{Grauman_2022_CVPR,
  title= "Ego4d: Around the world in 3,000 hours of egocentric video",
  author= "Grauman, Kristen and Westbury, Andrew and Byrne, Eugene and Chavis, Zachary and Furnari, Antonino and Girdhar, Rohit and Hamburger, Jackson and Jiang, Hao and Liu, Miao and Liu, Xingyu and others",
    booktitle = "CVPR",
    year      = "2022"
}


@InProceedings{Bagi_2023_ICML,
  title= "Generative Causal Representation Learning for Out-of-Distribution Motion Forecasting",
  author= "Bagi, Shayan Shirahmad Gale and Gharaee, Zahra and Schulte, Oliver and Crowley, Mark",
    booktitle = "ICML",
    year      = "2023"
}

@inproceedings{Chen_2019_ICRA,
  title= "Crowd-robot interaction: Crowd-aware robot navigation with attention-based deep reinforcement learning",
  author= "Chen, Changan and Liu, Yuejiang and Kreiss, Sven and Alahi, Alexandre",
    booktitle = "ICRA",
    year      = "2019"
}

@InProceedings{Xie_2023_ICML,
  title= "A Critical view of Vision-based Long-term Dynamics Prediction under Environment Misalignment",
  author= "Xie, Hanchen and Zhu, Jiageng and Khayatkhoei, Mahyar and Li, Jiazhi and Hussein, Mohamed E and AbdAlmageed, Wael",
    booktitle = "ICML",
    year      = "2023"
}


@InProceedings{Chen_2023_CoRL,
  title= "Predicting Object Interactions with Behavior Primitives: An Application in Stowing Tasks",
  author= "Haonan Chen and Yilong Niu and Kaiwen Hong and Shuijing Liu and Yixuan Wang and Yunzhu Li and Katherine Rose Driggs-Campbell",
    booktitle = "CoRL",
    year      = "2023"
}

@InProceedings{Chiou_2021_ICAR,
  title= "ST-HOI: A Spatial-Temporal Baseline for Human-Object Interaction Detection in Videos",
  author= "Chiou, Meng-Jiun and Liao, Chun-Yu and Wang, Li-Wei and Zimmermann, Roger and Feng, Jiashi",
    booktitle = "Workshop on Intelligent Cross-Data Analysis and Retrieval",
    year      = "2021"
}

@InProceedings{Mascaro_2023_CoRL,
  title= "HOI4ABOT: Human-Object Interaction Anticipation for Human Intention Reading Collaborative ro{BOT}s",
  author= "Esteve Valls Mascaro and Daniel Sliwowski and Dongheui Lee",
    booktitle = "CoRL",
    year      = "2023"
}

@InProceedings{Kushal_2023_CoRL,
  title= "ManiCast: Collaborative Manipulation with Cost-Aware Human Forecasting",
  author= "Kushal Kedia and Prithwish Dan and Atiksh Bhardwaj and Sanjiban Choudhury",
    booktitle = "CoRL",
    year      = "2023"
}

@InProceedings{Veer_2023_CoRL,
  title= "Multi-Predictor Fusion: Combining Learning-based and Rule-based Trajectory Predictors",
  author= "Sushant Veer and Apoorva Sharma and Marco Pavone",
    booktitle = "CoRL",
    year      = "2023"
}

@InProceedings{Diehl_2023_CoRL,
  title= "Energy-based Potential Games for Joint Motion Forecasting and Control",
  author= "Christopher Diehl and Tobias Klosek and Martin Krueger and Nils Murzyn and Timo Osterburg and Torsten Bertram",
    booktitle = "CoRL",
    year      = "2023"
}

@InProceedings{Moers_2022_IV,
  title= "The exiD dataset: A real-world trajectory dataset of highly interactive highway scenarios in Germany",
  author= "Moers, Tobias and Vater, Lennart and Krajewski, Robert and Bock, Julian and Zlocki, Adrian and Eckstein, Lutz",
    booktitle = "IV",
    year      = "2022"
}

@InProceedings{Xie_2023_CoRL,
  title= "Stochastic Occupancy Grid Map Prediction in Dynamic Scenes",
  author= "Zhanteng Xie and Philip Dames",
    booktitle = "CoRL",
    year      = "2023"
}

@InProceedings{Liu_2023_ICRA,
    author = "Liu, Haochen and Huang, Zhiyu and Lv, Chen",
    title = "Multi-modal Hierarchical Transformer for Occupancy Flow Field Prediction in Autonomous Driving",
    booktitle = "ICRA",
    year = "2023"
}

@InProceedings{Li_2023_ICRA,
    author = "Li, Jiachen and Shi, Xinwei and Chen, Feiyu and Stroud, Jonathan and Zhang, Zhishuai and Lan, Tian and Mao, Junhua and Kang, Jeonhyung and Refaat, Khaled S. and Yang, Weilong and Ie, Eugene and Li, Congcong",
    title = "Pedestrian Crossing Action Recognition and Trajectory Prediction with 3D Human Keypoints",
    booktitle = "ICRA",
    year = "2023"
}
@InProceedings{Kochakarn_2023_ICRA,
    author = "Kochakarn, Pawit and De Martini, Daniele and Omeiza, Daniel and Kunze, Lars",
    title = "Explainable Action Prediction through Self-Supervision on Scene Graphs",
    booktitle = "ICRA",
    year = "2023"
}
@InProceedings{Zhang_2023_ICRA,
    author = "Zhang, Zhejun and Liniger, Alexander and Dai, Dengxin and Yu, Fisher and Van Gool, Luc",
    title = "TrafficBots: Towards World Models for Autonomous Driving Simulation and Motion Prediction",
    booktitle = "ICRA",
    year = "2023"
}
@InProceedings{Grimm_2023_ICRA,
    author = "Grimm, Daniel and Schörner, Philip and Dreßler, Moritz and Zöllner, J.-Marius",
    title = "Holistic Graph-based Motion Prediction",
    booktitle = "ICRA",
    year = "2023"
}
@InProceedings{Schmidt_2023_ICRA,
    author = "Schmidt, Julian and Jordan, Julian and Gritschneder, Franz and Monninger, Thomas and Dietmayer, Klaus",
    title = "Exploring Navigation Maps for Learning-Based Motion Prediction",
    booktitle = "ICRA",
    year = "2023"
}
@InProceedings{Wakulicz_2023_ICRA,
    author = "Wakulicz, Jennifer and Brian Lee, Ki Myung and Vidal-Calleja, Teresa and Fitch, Robert",
    title = "Topological Trajectory Prediction with Homotopy Classes",
    booktitle = "ICRA",
    year = "2023"
}
@InProceedings{Yu_2023_ICRA,
    author = "Yu, Ge and Wolf, Michael T",
    title = "Congestion Prediction for Large Fleets of Mobile Robots",
    booktitle = "ICRA",
    year = "2023"
}
@InProceedings{Ivanovic_2023_ICRA,
    author = "Ivanovic, Boris and Harrison, James and Pavone, Marco",
    title = "Expanding the Deployment Envelope of Behavior Prediction via Adaptive Meta-Learning",
    booktitle = "ICRA",
    year = "2023"
}
@InProceedings{Looper_2023_ICRA,
    author = "Looper, Samuel and Rodriguez-Puigvert, Javier and Siegwart, Roland and Cadena, Cesar and Schmid, Lukas",
    title = "3D VSG: Long-term Semantic Scene Change Prediction through 3D Variable Scene Graphs",
    booktitle = "ICRA",
    year = "2023"
}

@InProceedings{Saadatnejad_2023_ICRA,
    author = "Saadatnejad, Saeed and Rasekh, Ali and Mofayezi, Mohammadreza and Medghalchi, Yasamin and Rajabzadeh, Sara and Mordan, Taylor and Alahi, Alexandre",
    title = "A generic diffusion-based approach for 3D human pose prediction in the wild",
    booktitle = "ICRA",
    year = "2023"
}
@InProceedings{Ahn_2023_ICRA,
    author = "Ahn, Hyemin and Mascaro, Esteve Valls and Lee, Dongheui",
    title = "Can We Use Diffusion Probabilistic Models for 3D Motion Prediction?",
    booktitle = "ICRA",
    year = "2023"
}
@InProceedings{Rasouli_2023_ICRA,
    author = "Rasouli, Amir and Kotseruba, Iuliia",
    title = "PedFormer: Pedestrian Behavior Prediction via Cross-Modal Attention Modulation and Gated Multitask Learning",
    booktitle = "ICRA",
    year = "2023"
}

@InProceedings{Nikdel_2023_ICRA,
    author = "Nikdel, Payam and Mahdavian, Mohammad and Chen, Mo",
    title = "DMMGAN: Diverse Multi Motion Prediction of 3D Human Joints using Attention-Based Generative Adversarial Network",
    booktitle = "ICRA",
    year = "2023"
}
@InProceedings{Mahdavian_2023_ICRA,
    author = "Mahdavian, Mohammad and Nikdel, Payam and TaherAhmadi, Mahdi and Chen, Mo",
    title = "STPOTR: Simultaneous Human Trajectory and Pose Prediction Using a Non-Autoregressive Transformer for Robot Follow-Ahead",
    booktitle = "ICRA",
    year = "2023"
}

@InProceedings{Pini_2023_ICRA,
    author = "Pini, Stefano and Perone, Christian S. and Ahuja, Aayush and Ferreira, Ana Sofia Rufino and Niendorf, Moritz and Zagoruyko, Sergey",
    title = "Safe Real-World Autonomous Driving by Learning to Predict and Plan with a Mixture of Experts",
    booktitle = "ICRA",
    year = "2023"
}

@InProceedings{Wang_2023_ICRA,
    author = "Wang, Weizhuo and Raitor, Michael and Collins, Steve and Liu, C. Karen and Kennedy, Monroe",
    title = "Trajectory and Sway Prediction Towards Fall Prevention",
    booktitle = "ICRA",
    year = "2023"
}

@Article{Kiss_2023_RAL,
  author = "Kiss, Stefan H. and Katuwandeniya, Kavindie and Alempijevic, Alen and Vidal-Calleja, Teresa",
  journal = "RAL", 
  title = "Constrained Gaussian Processes With Integrated Kernels for Long-Horizon Prediction of Dense Pedestrian Crowd Flows", 
  year = "2022",
  volume = "7",
  number = "3",
  pages = "7343-7350"
  }
  
  @InProceedings{Ye_2023_ICRA,
    author = "Ye, Luyao and Zhou, Zikang and Wang, Jianping",
    title = "Improving the Generalizability of Trajectory Prediction Models with Frenét-Based Domain Normalization",
    booktitle = "ICRA",
    year = "2023"
}

  @InProceedings{Shao_2023_ICRA,
    author = "Shao, Wenbo and Xu, Yanchao and Peng, Liang and Li, Jun and Wang, Hong",
    title = "Failure Detection for Motion Prediction of Autonomous Driving: An Uncertainty Perspective",
    booktitle = "ICRA",
    year = "2023"
}

  @InProceedings{Wang_2023_ICRA_1,
    author = "Wang, Mingkun and Zhu, Xinge and Yu, Changqian and Li, Wei and Ma, Yuexin and Jin, Ruochun and Ren, Xiaoguang and Ren, Dongchun and Wang, Mingxu and Yang, Wenjing",
    title = "GANet: Goal Area Network for Motion Forecasting",
    booktitle = "ICRA",
    year = "2023"
}

  @InProceedings{Nayakanti_2023_ICRA,
    author = "Nayakanti, Nigamaa and Al-Rfou, Rami and Zhou, Aurick and Goel, Kratarth and Refaat, Khaled S. and Sapp, Benjamin",
    title = "Wayformer: Motion Forecasting via Simple & Efficient Attention Networks",
    booktitle = "ICRA",
    year = "2023"
}

  @InProceedings{Cui_2023_ICRA,
    author = "Cui, Alexander and Casas, Sergio and Wong, Kelvin and Suo, Simon and Urtasun, Raquel",
    title = "GoRela: Go Relative for Viewpoint-Invariant Motion Forecasting",
    booktitle = "ICRA",
    year = "2023"
}
@InProceedings{Acharya_2023_ICRA,
    author = "Acharya, Aastha and Russell, Rebecca and Ahmed, Nisar R.",
    title = "Learning to Forecast Aleatoric and Epistemic Uncertainties over Long Horizon Trajectories",
    booktitle = "ICRA",
    year = "2023"
}

  @InProceedings{Wald_2020_CVPR,
    author = "Wald, Johanna and Dhamo, Helisa and Navab, Nassir and Tombari, Federico",
    title = "Learning 3D Semantic Scene Graphs from 3D Indoor Reconstructions",
    booktitle = "CVPR",
    year = "2020"
}

  @InProceedings{Wald_2019_ICCV,
    author = "Johanna Wald and Armen Avetisyan and Nassir Navab and Federico Tombari and Matthias Niessner",
    title = "RIO: 3D Object Instance Re-Localization in Changing Indoor Environments",
    booktitle = "ICCV",
    year = "2019"
}

  @Article{Singh_2023_PAMI,
  author = "Singh, Gurkirt and Akrigg, Stephen and Maio, Manuele Di and Fontana, Valentina and Alitappeh, Reza Javanmard and Khan, Salman and Saha, Suman and Jeddisaravi, Kossar and Yousefi, Farzad and Culley, Jacob and Nicholson, Tom and Omokeowa, Jordan and Grazioso, Stanislao and Bradley, Andrew and Gironimo, Giuseppe Di and Cuzzolin, Fabio",
  journal = "PAMI", 
  title = "ROAD: The Road Event Awareness Dataset for Autonomous Driving", 
  year = "2023",
  volume = "45",
  number = "1",
  pages = "1036-1054"
  }
  @INPROCEEDINGS{Asghar_2023_IROS,
  author={Asghar, Rabbia and Diaz-Zapata, Manuel and Rummelhard, Lukas and Spalanzani, Anne and Laugier, Christian},
  booktitle={IROS}, 
  title={Vehicle Motion Forecasting Using Prior Information and Semantic-Assisted Occupancy Grid Maps}, 
  year={2023}}
  
@INPROCEEDINGS{Li_2023_IROS,
  author={Li, Changlin and Qian, Yeqiang and Sun, Cong and Yan, Weihao and Wang, Chunxiang and Yang, Ming},
  booktitle={IROS}, 
  title={TTC4MCP: Monocular Collision Prediction Based on Self-Supervised TTC Estimation}, 
  year={2023}}
  
  @INPROCEEDINGS{Huang_2023_IROS,
  author={Huang, Renhao and Pagnucco, Maurice and Song, Yang},
  booktitle={IROS}, 
  title={HyperTraj: Towards Simple and Fast Scene-Compliant Endpoint Conditioned Trajectory Prediction}, 
  year={2023}
  }
  
    @INPROCEEDINGS{Yasar_2023_IROS,
  author={Yasar, Mohammad Samin and Iqbal, Tariq},
  booktitle={IROS}, 
  title={VADER: Vector-Quantized Generative Adversarial Network for Motion Prediction}, 
  year={2023}
  }
  
      @INPROCEEDINGS{Stoler_2023_IROS,
  author={Stoler, Benjamin and Jana, Meghdeep and Hwang, Soonmin and Oh, Jean},
  booktitle={IROS}, 
  title={T2FPV: Dataset and Method for Correcting First-Person View Errors in Pedestrian Trajectory Prediction}, 
  year={2023}
  }
  
  
    
@INPROCEEDINGS{Hsu_2023_IROS,
  author={Hsu, Kai-Chieh and Leung, Karen and Chen, Yuxiao and Fisac, Jaime F. and Pavone, Marco},
  booktitle={IROS}, 
  title={Interpretable Trajectory Prediction for Autonomous Vehicles via Counterfactual Responsibility}, 
  year={2023}
  }
  
  @INPROCEEDINGS{Sharma_2023_IROS,
  author={Sharma, Vishnu D. and Chen, Jingxi and Tokekar, Pratap},
  booktitle={IROS}, 
  title={ProxMaP: Proximal Occupancy Map Prediction for Efficient Indoor Robot Navigation}, 
  year={2023}
  }
  
    @INPROCEEDINGS{Sharma_2023_IROS_1,
  author={Sharma, Basant and Sharma, Aditya and Krishna, K.Madhava and Singh, Arun Kumar},
  booktitle={IROS}, 
  title={Hilbert Space Embedding-Based Trajectory Optimization for Multi-Modal Uncertain Obstacle Trajectory Prediction}, 
  year={2023}
  }
  
@INPROCEEDINGS{Sejersen_2023_IROS,
  author={le Fevre Sejersen, Jonas and Kayacan, Erdal},
  booktitle={IROS}, 
  title={CAMETA: Conflict-Aware Multi-Agent Estimated Time of Arrival Prediction for Mobile Robots}, 
  year={2023}
  }
  @inproceedings{Ramakrishnan_2021_NeurIPS,
  title={Habitat-Matterport 3D Dataset ({HM}3D): 1000 Large-scale 3D Environments for Embodied {AI}},
  author={Santhosh Kumar Ramakrishnan and Aaron Gokaslan and Erik Wijmans and Oleksandr Maksymets and Alexander Clegg and John M Turner and Eric Undersander and Wojciech Galuba and Andrew Westbury and Angel X Chang and Manolis Savva and Yili Zhao and Dhruv Batra},
  booktitle={NeurIPS},
  year={2021}
}

@INPROCEEDINGS{Fan_2023_IROS,
  author={Fan, Yixuan and Liu, Xin and Li, Yali and Wang, Shengjin},
  booktitle={IROS}, 
  title={Look Before You Drive: Boosting Trajectory Forecasting via Imagining Future}, 
  year={2023}
  }
  
  @INPROCEEDINGS{Kedia_2023_IROS,
  author={Kedia, Kushal and Dan, Prithwish and Choudhury, Sanjiban},
  booktitle={IROS}, 
  title={A Game-Theoretic Framework for Joint Forecasting and Planning}, 
  year={2023}
  }
  
    @INPROCEEDINGS{Pang_2023_IROS,
  author={Pang, Ziqi and Ramanan, Deva and Li, Mengtian and Wang, Yu-Xiong},
  booktitle={IROS}, 
  title={Streaming Motion Forecasting for Autonomous Driving}, 
  year={2023}
  }
  
@INPROCEEDINGS{Lagamtzis_2023_IROS,
  author={Lagamtzis, Dimitrios and Schmidt, Fabian and Seyler, Jan and Dang, Thao and Schober, Steffen},
  booktitle={IROS}, 
  title={Exploiting Spatio-Temporal Human-Object Relations Using Graph Neural Networks for Human Action Recognition and 3D Motion Forecasting}, 
  year={2023}
  }
  
@inproceedings{lagamtzis2022coax,
  title={CoAx: Collaborative Action Dataset for Human Motion Forecasting in an Industrial Workspace.},
  author={Lagamtzis, Dimitrios and Schmidt, Fabian and Seyler, Jan R and Dang, Thao},
  booktitle={ICAART},
  year={2022}
}
  
  
@INPROCEEDINGS{Franceschi_2023_IROS,
  author={Franceschi, Paolo and Bertini, Fabio and Braghin, Francesco and Roveda, Loris and Pedrocchi, Nicola and Beschi, Manuel},
  booktitle={IROS}, 
  title={Learning Human Motion Intention for pHRI Assistive Control}, 
  year={2023}
  }
  
    
@INPROCEEDINGS{Poddar_2023_IROS,
  author={Poddar, Sriyash and Mavrogiannis, Christoforos and Srinivasa, Siddhartha S.},
  booktitle={IROS}, 
  title={From Crowd Motion Prediction to Robot Navigation in Crowds}, 
  year={2023}
  }
  
  @INPROCEEDINGS{Zhu_2023_IROS,
  author={Zhu, Yufei and Rudenko, Andrey and Kucner, Tomasz P. and Palmieri, Luigi and Arras, Kai O. and Lilienthal, Achim J. and Magnusson, Martin},
  booktitle={IROS}, 
  title={CLiFF-LHMP: Using Spatial Dynamics Patterns for Long- Term Human Motion Prediction}, 
  year={2023}
  }
  
  
 @InProceedings{Sun_MoML_2024_CVPR,
    author    = "Sun, Xiaoning and Sun, Huaijiang and Li, Bin and Wei, Dong and Li, Weiqing and Lu, Jianfeng",
    title     = "MoML: Online Meta Adaptation for 3D Human Motion Prediction",
    booktitle = "CVPR",
    year      = "2024"
}
@InProceedings{Yu_Pose_2024_CVPR,
    author    = "Yu, Ruixuan and Sun, Jian",
    title     = "Pose-Transformed Equivariant Network for 3D Point Trajectory Prediction",
    booktitle = "CVPR",
    year      = "2024"
}
@InProceedings{Shrivastava_Video_2024_CVPR,
    author    = "Shrivastava, Gaurav and Shrivastava, Abhinav",
    title     = "Video Prediction by Modeling Videos as Continuous Multi-Dimensional Processes",
    booktitle = "CVPR",
    year      = "2024"
}
@InProceedings{Yue_Human_2024_CVPR,
    author    = "Yue, Jiangbei and Li, Baiyi and Pettr\'e, Julien and Seyfried, Armin and Wang, He",
    title     = "Human Motion Prediction Under Unexpected Perturbation",
    booktitle = "CVPR",
    year      = "2024"
}
@article{Feldmann_Forward_2023_Safety,
title = "Forward propagation of a push through a row of people",
journal = "Safety Science",
volume = "164",
pages = "106173",
year = "2023",
author = "Sina Feldmann and Juliane Adrian"
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@InProceedings{Chen_Rethinking_2024_CVPR,
    author    = "Chen, Haipeng and Lyu, Kedi and Liu, Zhenguang and Yin, Yifang and Yang, Xun and Lyu, Yingda",
    title     = "Rethinking Human Motion Prediction with Symplectic Integral",
    booktitle = "CVPR",
    year      = "2024"
}
@InProceedings{Bae_Can_2024_CVPR,
    author    = "Bae, Inhwan and Lee, Junoh and Jeon, Hae-Gon",
    title     = "Can Language Beat Numerical Regression? Language-Based Multimodal Trajectory Prediction",
    booktitle = "CVPR",
    year      = "2024"
}

@InProceedings{Kalble_Accurate_2024_CVPR,
    author    = "Kalble, Jonas and Wirges, Sascha and Tatarchenko, Maxim and Ilg, Eddy",
    title     = "Accurate Training Data for Occupancy Map Prediction in Automated Driving Using Evidence Theory",
    booktitle = "CVPR",
    year      = "2024"
}
@InProceedings{Jeong_Multi_2024_CVPR,
    author    = "Jeong, Jaewoo and Park, Daehee and Yoon, Kuk-Jin",
    title     = "Multi-agent Long-term 3D Human Pose Forecasting via Interaction-aware Trajectory Conditioning",
    booktitle = "CVPR",
    year      = "2024"
}
@InProceedings{Yan_Forecasting_2024_CVPR,
    author    = "Yan, Haitao and Cui, Qiongjie and Xie, Jiexin and Guo, Shijie",
    title     = "Forecasting of 3D Whole-body Human Poses with Grasping Objects",
    booktitle = "CVPR",
    year      = "2024"
}
@InProceedings{Bhatnagar_BEHAVE_2022_CVPR,
    author    = "Bhatnagar, Bharat Lal and Xie, Xianghui and Petrov, Ilya A. and Sminchisescu, Cristian and Theobalt, Christian and Pons-Moll, Gerard",
    title     = "BEHAVE: Dataset and Method for Tracking Human Object Interactions",
    booktitle = "CVPR",
    year      = "2022"
}
@InProceedings{Lou_Multimodal_2024_CVPR,
    author    = "Lou, Zhenyu and Cui, Qiongjie and Wang, Haofan and Tang, Xu and Zhou, Hong",
    title     = "Multimodal Sense-Informed Forecasting of 3D Human Motions",
    booktitle = "CVPR",
    year      = "2024"
}
@InProceedings{Wang_Self_2024_CVPR,
    author    = "Wang, Kewei and Wu, Yizheng and Cen, Jun and Pan, Zhiyu and Li, Xingyi and Wang, Zhe and Cao, Zhiguo and Lin, Guosheng",
    title     = "Self-Supervised Class-Agnostic Motion Prediction with Spatial and Temporal Consistency Regularizations",
    booktitle = "CVPR",
    year      = "2024"
}
@InProceedings{Zhou_SmartRefine_2024_CVPR,
    author    = "Zhou, Yang and Shao, Hao and Wang, Letian and Waslander, Steven L. and Li, Hongsheng and Liu, Yu",
    title     = "SmartRefine: A Scenario-Adaptive Refinement Framework for Efficient Motion Prediction",
    booktitle = "CVPR",
    year      = "2024"
}
@InProceedings{Pasca_Summarize_2024_CVPR,
    author    = "Pasca, Razvan-George and Gavryushin, Alexey and Hamza, Muhammad and Kuo, Yen-Ling and Mo, Kaichun and Van Gool, Luc and Hilliges, Otmar and Wang, Xi",
    title     = "Summarize the Past to Predict the Future: Natural Language Descriptions of Context Boost Multimodal Object Interaction Anticipation",
    booktitle = "CVPR",
    year      = "2024"
}
@InProceedings{Xu_Adapting_2024_CVPR,
    author    = "Xu, Yi and Fu, Yun",
    title     = "Adapting to Length Shift: FlexiLength Network for Trajectory Prediction",
    booktitle = "CVPR",
    year      = "2024"
}
@InProceedings{Tang_HPNet_2024_CVPR,
    author    = "Tang, Xiaolong and Kan, Meina and Shan, Shiguang and Ji, Zhilong and Bai, Jinfeng and Chen, Xilin",
    title     = "HPNet: Dynamic Trajectory Forecasting with Historical Prediction Attention",
    booktitle = "CVPR",
    year      = "2024"
}
@InProceedings{Mu_MoST_2024_CVPR,
    author    = "Mu, Norman and Ji, Jingwei and Yang, Zhenpei and Harada, Nate and Tang, Haotian and Chen, Kan and Qi, Charles R. and Ge, Runzhou and Goel, Kratarth and Yang, Zoey and Ettinger, Scott and Al-Rfou, Rami and Anguelov, Dragomir and Zhou, Yin",
    title     = "MoST: Multi-Modality Scene Tokenization for Motion Prediction",
    booktitle = "CVPR",
    year      = "2024"
}
@InProceedings{Yang_Generalized_2024_CVPR,
    author    = "Yang, Jiazhi and Gao, Shenyuan and Qiu, Yihang and Chen, Li and Li, Tianyu and Dai, Bo and Chitta, Kashyap and Wu, Penghao and Zeng, Jia and Luo, Ping and Zhang, Jun and Geiger, Andreas and Qiao, Yu and Li, Hongyang",
    title     = "Generalized Predictive Model for Autonomous Driving",
    booktitle = "CVPR",
    year      = "2024"
}
@InProceedings{Kang_Continual_2024_CVPR,
    author    = "Kang, DaeJun and Kum, Dongsuk and Kim, Sanmin",
    title     = "Continual Learning for Motion Prediction Model via Meta-Representation Learning and Optimal Memory Buffer Retention Strategy",
    booktitle = "CVPR",
    year      = "2024"
}
@InProceedings{Park_T4P_2024_CVPR,
    author    = "Park, Daehee and Jeong, Jaeseok and Yoon, Sung-Hoon and Jeong, Jaewoo and Yoon, Kuk-Jin",
    title     = "T4P: Test-Time Training of Trajectory Prediction via Masked Autoencoder and Actor-specific Token Memory",
    booktitle = "CVPR",
    year      = "2024"
}
@InProceedings{Pourkeshavarz_Adversarial_2024_CVPR,
    author    = "Pourkeshavarz, Mozhgan and Sabokrou, Mohammad and Rasouli, Amir",
    title     = "Adversarial Backdoor Attack by Naturalistic Data Poisoning on Trajectory Prediction in Autonomous Driving",
    booktitle = "CVPR",
    year      = "2024"
}
@InProceedings{Dong_MemFlow_2024_CVPR,
    author    = "Dong, Qiaole and Fu, Yanwei",
    title     = "MemFlow: Optical Flow Estimation and Prediction with Memory",
    booktitle = "CVPR",
    year      = "2024"
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@InProceedings{Butler_Naturalistic_2012_ECCV,
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@InProceedings{Zhang_OOSTraj_2024_CVPR,
    author    = "Zhang, Haichao and Xu, Yi and Lu, Hongsheng and Shimizu, Takayuki and Fu, Yun",
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    booktitle = "CVPR",
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@InProceedings{Liu_ViFi_2022_IPSN,
    author    = "Liu, Hansi and Alali, Abrar and Ibrahim, Mohamed and Cao, Bryan Bo and Meegan, Nicholas and Li, Hongyu and Gruteser, Marco and Jain, Shubham and Dana, Kristin and Ashok, Ashwin and Cheng, Bin and Lu, Hongsheng",
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@InProceedings{Wen_Density_2024_CVPR,
    author    = "Wen, Di and Xu, Haoran and He, Zhaocheng and Wu, Zhe and Tan, Guang and Peng, Peixi",
    title     = "Density-Adaptive Model Based on Motif Matrix for Multi-Agent Trajectory Prediction",
    booktitle = "CVPR",
    year      = "2024"
}
@InProceedings{Wong_SocialCircle_2024_CVPR,
    author    = "Wong, Conghao and Xia, Beihao and Zou, Ziqian and Wang, Yulong and You, Xinge",
    title     = "SocialCircle: Learning the Angle-based Social Interaction Representation for Pedestrian Trajectory Prediction",
    booktitle = "CVPR",
    year      = "2024"
}
@InProceedings{Lu_Quantifying_2024_CVPR,
    author    = "Lu, Juanwu and Cui, Can and Ma, Yunsheng and Bera, Aniket and Wang, Ziran",
    title     = "Quantifying Uncertainty in Motion Prediction with Variational Bayesian Mixture",
    booktitle = "CVPR",
    year      = "2024"
}
@InProceedings{Bae_SingularTrajectory_2024_CVPR,
    author    = "Bae, Inhwan and Park, Young-Jae and Jeon, Hae-Gon",
    title     = "SingularTrajectory: Universal Trajectory Predictor Using Diffusion Model",
    booktitle = "CVPR",
    year      = "2024"
}
@InProceedings{Zhang_ExtDM_2024_CVPR,
    author    = "Zhang, Zhicheng and Hu, Junyao and Cheng, Wentao and Paudel, Danda and Yang, Jufeng",
    title     = "ExtDM: Distribution Extrapolation Diffusion Model for Video Prediction",
    booktitle = "CVPR",
    year      = "2024"
}
@InProceedings{Lin_GigaTraj_2024_CVPR,
    author    = "Lin, Haozhe and Wei, Chunyu and He, Li and Guo, Yuchen and Zhao, Yunqi and Li, Shanglong and Fang, Lu",
    title     = "GigaTraj: Predicting Long-term Trajectories of Hundreds of Pedestrians in Gigapixel Complex Scenes",
    booktitle = "CVPR",
    year      = "2024"
}
@InProceedings{Kim_Higher_2024_CVPR,
    author    = "Kim, Sungjune and Chi, Hyung-gun and Lim, Hyerin and Ramani, Karthik and Kim, Jinkyu and Kim, Sangpil",
    title     = "Higher-order Relational Reasoning for Pedestrian Trajectory Prediction",
    booktitle = "CVPR",
    year      = "2024"
}
@InProceedings{Gu_Producing_2024_CVPR,
    author    = "Gu, Xunjiang and Song, Guanyu and Gilitschenski, Igor and Pavone, Marco and Ivanovic, Boris",
    title     = "Producing and Leveraging Online Map Uncertainty in Trajectory Prediction",
    booktitle = "CVPR",
    year      = "2024"
}
@InProceedings{Jaume_Modeling_2024_CVPR,
    author    = "Jaume, Guillaume and Vaidya, Anurag and Chen, Richard J. and Williamson, Drew F.K. and Liang, Paul Pu and Mahmood, Faisal",
    title     = "Modeling Dense Multimodal Interactions Between Biological Pathways and Histology for Survival Prediction",
    booktitle = "CVPR",
    year      = "2024"
}
@InProceedings{Pourkeshavarz_CaDeT_2024_CVPR,
    author    = "Pourkeshavarz, Mozhgan and Zhang, Junrui and Rasouli, Amir",
    title     = "CaDeT: a Causal Disentanglement Approach for Robust Trajectory Prediction in Autonomous Driving",
    booktitle = "CVPR",
    year      = "2024"
}
@InProceedings{Yang_Visual_2024_CVPR,
    author    = "Yang, Zetong and Chen, Li and Sun, Yanan and Li, Hongyang",
    title     = "Visual Point Cloud Forecasting enables Scalable Autonomous Driving",
    booktitle = "CVPR",
    year      = "2024"
}
@InProceedings{Shi_StreamingFlow_2024_CVPR,
    author    = "Shi, Yining and Jiang, Kun and Wang, Ke and Li, Jiusi and Wang, Yunlong and Yang, Mengmeng and Yang, Diange",
    title     = "StreamingFlow: Streaming Occupancy Forecasting with Asynchronous Multi-modal Data Streams via Neural Ordinary Differential Equation",
    booktitle = "CVPR",
    year      = "2024"
}
@InProceedings{Wang_Driving_2024_CVPR,
    author    = "Wang, Yuqi and He, Jiawei and Fan, Lue and Li, Hongxin and Chen, Yuntao and Zhang, Zhaoxiang",
    title     = "Driving into the Future: Multiview Visual Forecasting and Planning with World Model for Autonomous Driving",
    booktitle = "CVPR",
    year      = "2024"
}
@InProceedings{Agro_UnO_2024_CVPR,
    author    = "Agro, Ben and Sykora, Quinlan and Casas, Sergio and Gilles, Thomas and Urtasun, Raquel",
    title     = "UnO: Unsupervised Occupancy Fields for Perception and Forecasting",
    booktitle = "CVPR",
    year      = "2024"
}
@InProceedings{Guo_Uncertainty_2024_CVPR,
    author    = "Guo, Hongji and Agarwal, Nakul and Lo, Shao-Yuan and Lee, Kwonjoon and Ji, Qiang",
    title     = "Uncertainty-aware Action Decoupling Transformer for Action Anticipation",
    booktitle = "CVPR",
    year      = "2024"
}

@InProceedings{Mittal_Cant_2024_CVPR,
    author    = "Mittal, Himangi and Agarwal, Nakul and Lo, Shao-Yuan and Lee, Kwonjoon",
    title     = "Can't Make an Omelette Without Breaking Some Eggs: Plausible Action Anticipation Using Large Video-Language Models",
    booktitle = "CVPR",
    year      = "2024"
}
@InProceedings{Ma_Cam4DOcc_2024_CVPR,
    author    = "Ma, Junyi and Chen, Xieyuanli and Huang, Jiawei and Xu, Jingyi and Luo, Zhen and Xu, Jintao and Gu, Weihao and Ai, Rui and Wang, Hesheng",
    title     = "Cam4DOcc: Benchmark for Camera-Only 4D Occupancy Forecasting in Autonomous Driving Applications",
    booktitle = "CVPR",
    year      = "2024"
}
@InProceedings{Diller_FutureHuman3D_2024_CVPR,
    author    = "Diller, Christian and Funkhouser, Thomas and Dai, Angela",
    title     = "FutureHuman3D: Forecasting Complex Long-Term 3D Human Behavior from Video Observations",
    booktitle = "CVPR",
    year      = "2024"
}
@InProceedings{Shabat_IKEA_2021_WACV,
    author    = "Ben-Shabat, Yizhak and Yu, Xin and Saleh, Fatemeh and Campbell, Dylan and Rodriguez-Opazo, Cristian and Li, Hongdong and Gould, Stephen",
    title     = "The IKEA ASM Dataset: Understanding People Assembling Furniture Through Actions, Objects and Pose",
    booktitle = "WACV",
    year      = "2021"
}
@InProceedings{Benson_Multimodal_2024_CVPR,
    author    = "Benson, Vitus and Robin, Claire and Requena-Mesa, Christian and Alonso, Lazaro and Carvalhais, Nuno and Cort\'es, Jos\'e and Gao, Zhihan and Linscheid, Nora and Weynants, M\'elanie and Reichstein, Markus",
    title     = "Multi-modal Learning for Geospatial Vegetation Forecasting",
    booktitle = "CVPR",
    year      = "2024"
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@inproceedings{Chip_MSTIP_2024_ICML,
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year= "2024"
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@inproceedings{Chib_Enhancing_2024_ICML,
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year= "2024"
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@inproceedings{Song_Multimodal_2024_ICML,
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@inproceedings{Yi_CLEVRER_2020_ICLR,
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@inproceedings{Park_longterm_2024_ICLR,
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@inproceedings{Zhang_prototypical_2024_ICLR,
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@inproceedings{Saadatnejad_socialtransmotion_2024_ICLR,
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   year      = "2018"
 }
 @inproceedings{Gu_seer_2024_ICLR,
title= "Seer: Language Instructed Video Prediction with Latent Diffusion Models",
author= "Xianfan Gu and Chuan Wen and Weirui Ye and Jiaming Song and Yang Gao",
booktitle= "ICLR",
year= "2024"
}
@inproceedings{Walke_bridgedata_2023_CoRL,
title= "BridgeData V2: A Dataset for Robot Learning at Scale",
author= "Homer Rich Walke and Kevin Black and Tony Z. Zhao and Quan Vuong and Chongyi Zheng and Philippe Hansen-Estruch and Andre Wang He and Vivek Myers and Moo Jin Kim and Max Du and Abraham Lee and Kuan Fang and Chelsea Finn and Sergey Levine",
booktitle= "CoRL",
year= "2023"
}

@inproceedings{Lan_SEPT_2024_ICLR,
title= "{SEPT}: Towards Efficient Scene Representation Learning for Motion Prediction",
author= "Zhiqian Lan and Yuxuan Jiang and Yao Mu and Chen Chen and Shengbo Eben Li",
booktitle= "ICLR",
year= "2024"
}
@inproceedings{Zhao_AntGPT_2024_ICLR,
title= "Ant{GPT}: Can Large Language Models Help Long-term Action Anticipation from Videos?",
author= "Qi Zhao and Shijie Wang and Ce Zhang and Changcheng Fu and Minh Quan Do and Nakul Agarwal and Kwonjoon Lee and Chen Sun",
booktitle= "ICLR",
year= "2024"
}

@ARTICLE {Mandery_Unifying_2016_ToR,
author = {Christian Mandery and \"Omer Terlemez and Martin Do and Nikolaus Vahrenkamp and Tamim Asfour},
title = {Unifying Representations and Large-Scale Whole-Body Motion Databases for Studying Human Motion},
pages = {796--809},
volume ={32},
number ={4},
journal ={IEEE Transactions on Robotics},
year = {2016},
}

@inproceedings{Kadia_InteRACT_2024_ICRA,
  author="Kedia, Kushal and Bhardwaj, Atiksh and Dan, Prithwish and Choudhury, Sanjiban",
  booktitle="ICRA", 
  title="InteRACT: Transformer Models for Human Intent Prediction Conditioned on Robot Actions", 
  year="2024"}
  
  @inproceedings{Arreghini_Predicting_2024_ICRA,
  author="Arreghini, Simone and Abbate, Gabriele and Giusti, Alessandro and Paolillo, Antonio",
  booktitle="ICRA", 
  title="Predicting the Intention to Interact with a Service Robot: the Role of Gaze Cues", 
  year="2024"}
  
  @inproceedings{Karim_DESTINE_2024_ICRA,
  author="Karim, Rezaul and Shabestary, Soheil Mohamad Alizadeh and Rasouli, Amir",
  booktitle="ICRA", 
  title="DESTINE: Dynamic Goal Queries with Temporal Transductive Alignment for Trajectory Prediction", 
  year="2024"}
    
  @inproceedings{Lee_Commonsense_2024_ICRA,
  author="Lee, Sang Uk",
  booktitle="ICRA", 
  title="Commonsense Spatial Knowledge-aware 3-D Human Motion and Object Interaction Prediction", 
  year="2024"}
  
  @inproceedings{Rasouli_Novel_2024_ICRA,
  author="Rasouli, Amir",
  booktitle="ICRA", 
  title="A Novel Benchmarking Paradigm and a Scale- and Motion-Aware Model for Egocentric Pedestrian Trajectory Prediction", 
  year="2024"}
  
  @inproceedings{Jayasuriya_3D_2024_ICRA,
  author="Jayasuriya, Maleen and Hu, Gibson and Le, Dinh Dang Khoa and Ang, Karyne and Sankaran, Shankar and Liu, Dikai",
  booktitle="ICRA", 
  title="A 3D Vector Field and Gaze Data Fusion Framework for Hand Motion Intention Prediction in Human-Robot Collaboration", 
  year="2024"}
  
  @inproceedings{Huang_DTPP_2024_ICRA,
  author="Huang, Zhiyu and Karkus, Peter and Ivanovic, Boris and Chen, Yuxiao and Pavone, Marco and Lv, Chen",
  booktitle="ICRA", 
  title="DTPP: Differentiable Joint Conditional Prediction and Cost Evaluation for Tree Policy Planning in Autonomous Driving", 
  year="2024"}
  
  @inproceedings{Groot_Probabilistic_2024_ICRA,
  author="de Groot, Oscar and Sridharan, Anish and Alonso-Mora, Javier and Ferranti, Laura",
  booktitle="ICRA", 
  title="Probabilistic Motion Planning and Prediction via Partitioned Scenario Replay", 
  year="2024"}
  
  
  @INPROCEEDINGS{Mitra_Enhanced_2024_ICRA,
  author="Mitra, Mukund and Kumar, Gyanig and Chakrabarti, Partha Pratim and Biswas, Pradipta",
  booktitle="ICRA", 
  title="Enhanced Human-Robot Collaboration with Intent Prediction using Deep Inverse Reinforcement Learning", 
  year="2024"}
  
  @inproceedings{Chen_CRITERIA_2024_ICRA,
  author="Chen, Changhe and Pourkeshavarz, Mozhgan and Rasouli, Amir",
  booktitle="ICRA", 
  title="CRITERIA: a New Benchmarking Paradigm for Evaluating Trajectory Prediction Models for Autonomous Driving", 
  year="2024"}
  
  @inproceedings{Zhu_LaCE_2024_ICRA,
  author="Zhu, Yufei and Fan, Han and Rudenko, Andrey and Magnusson, Martin and Schaffernicht, Erik and Lilienthal, Achim J.",
  booktitle="ICRA", 
  title="LaCE-LHMP: Airflow Modelling-Inspired Long-Term Human Motion Prediction By Enhancing Laminar Characteristics in Human Flow", 
  year="2024"}
  
  @inproceedings{Afshar_PBP_2024_ICRA,
  author="Afshar, Sepideh and Deo, Nachiket and Bhagat, Akshay and Chakraborty, Titas and Shao, Yunming and Buddharaju, Balarama Raju and Deshpande, Adwait and Motional, Henggang Cui",
  booktitle="ICRA", 
  title="PBP: Path-based Trajectory Prediction for Autonomous Driving", 
  year="2024"}
  
  @inproceedings{Wang_ESP_2024_ICRA,
  author="Wang, Dingrui and Lai, Zheyuan and Li, Yuda and Wu, Yi and Ma, Yuexin and Betz, Johannes and Yang, Ruigang and Li, Wei",
  booktitle="ICRA", 
  title="ESP: Extro-Spective Prediction for Long-term Behavior Reasoning in Emergency Scenarios", 
  year="2024"}
  
  @inproceedings{Weerasinghe_Multimodal_2024_ICRA,
  author="Weerasinghe, Keshara and Reza Roodabeh, Seyed Hamid and Hutchinson, Kay and Alemzadeh, Homa",
  booktitle="ICRA", 
  title="Multimodal Transformers for Real-Time Surgical Activity Prediction", 
  year="2024"}
  
  @inproceedings{Xiao_Multi_2024_ICRA,
  author="Xiao, Qingyu and Zaidi, Zulfiqar and Gombolay, Matthew",
  booktitle="ICRA", 
  title="Multi-Camera Asynchronous Ball Localization and Trajectory Prediction with Factor Graphs and Human Poses", 
  year="2024"}
  
  @inproceedings{Guo_HHGNN_2024_ICRA,
  author="Guo, Hetian and Peng, Yingzhi and Fan, Zipei and Zhu, He and Song, Xuan",
  booktitle="ICRA", 
  title="HHGNN: Heterogeneous Hypergraph Neural Network for Traffic Agents Trajectory Prediction in Grouping Scenarios", 
  year="2024"}
  
  @inproceedings{Guo_Scene_2024_ICRA,
  author="Lange, Bernard and Li, Jiachen and Kochenderfer, Mykel J.",
  booktitle="ICRA", 
  title="Scene Informer: Anchor-based Occlusion Inference and Trajectory Prediction in Partially Observable Environments", 
  year="2024"}
  
  @inproceedings{Liao_Human_2024_ICRA,
  author="Liao, Haicheng and Liu, Shangqian and Li, Yongkang and Li, Zhenning and Wang, Chengyue and Li, Yunjian and Li, Shengbo Eben and Xu, Chengzhong",
  booktitle="ICRA", 
  title="Human Observation-Inspired Trajectory Prediction for Autonomous Driving in Mixed-Autonomy Traffic Environments", 
  year="2024"}
  
  @inproceedings{Thuremella_Risk_2024_ICRA,
  author="Thuremella, Divya and Ince, Lewis and Kunze, Lars",
  booktitle="ICRA", 
  title="Risk-aware Trajectory Prediction by Incorporating Spatio-temporal Traffic Interaction Analysis", 
  year="2024"}
  
  @inproceedings{Wang_Improving_2024_ICRA,
  author="Wang, Sheng and Chen, Yingbing and Cheng, Jie and Mei, Xiaodong and Xin, Ren and Song, Yongkang and Liu, Ming",
  booktitle="ICRA", 
  title="Improving Autonomous Driving Safety with POP: A Framework for Accurate Partially Observed Trajectory Predictions", 
  year="2024"}
  
  @inproceedings{Woo_FIMP_2024_ICRA,
  author="Woo, Sungmin and Kim, Minjung and Kim, Donghyeong and Jang, Sungjun and Lee, Sangyoun",
  booktitle="ICRA", 
  title="FIMP: Future Interaction Modeling for Multi-Agent Motion Prediction", 
  year="2024"}
  
  @inproceedings{Wang_Pedestrian_2024_ICRA,
  author="Wang, Honghui and Zhi, Weiming and Batista, Gustavo and Chandra, Rohitash",
  booktitle="ICRA", 
  title="Pedestrian Trajectory Prediction Using Dynamics-based Deep Learning", 
  year="2024"}
  
  @inproceedings{Gan_Multi_2024_ICRA,
  author="Gan, Yiqian and Xiao, Hao and Zhao, Yizhe and Zhang, Ethan and Huang, Zhe and Ye, Xin and Ge, Lingting",
  booktitle="ICRA", 
  title="Multi-Granular Transformer for Motion Prediction with LiDAR", 
  year="2024"}
  
  @inproceedings{Bhaskara_Trajectory_2024_ICRA,
  author="Bhaskara, Rashmi and Viswanath, Hrishikesh and Bera, Aniket",
  booktitle="ICRA", 
  title="Trajectory Prediction for Robot Navigation using Flow-Guided Markov Neural Operator", 
  year="2024"}
  
  @inproceedings{Lin_DyHGDAT_2024_ICRA,
  author="Lin, Weilong and Zeng, Xinhua and Pang, Chengxin and Teng, Jing and Liu, Jing",
  booktitle="ICRA", 
  title="DyHGDAT: Dynamic Hypergraph Dual Attention Network for multi-agent trajectory prediction", 
  year="2024"}
  
  @inproceedings{Chen_WOMD_2024_ICRA,
  author="Chen, Kan and Ge, Runzhou and Qiu, Hang and Ai-Rfou, Rami and Qi, Charles and Zhou, Xuanyu and Yang, Zoey and Ettinger, Scott and Sun, Pei and Leng, Zhaoqi and Baniodeh, Mustafa and Bogun, Ivan and Wang, Weiyue and Tan, Mingxing and Anguelov, Dragomir",
  booktitle="ICRA", 
  title="WOMD-LiDAR: Raw Sensor Dataset Benchmark for Motion Forecasting", 
  year="2024"}
  
  @inproceedings{Ettinger_Scaling_2024_ICRA,
  author="Ettinger, Scott and Goel, Kratarth and Srivastava, Avikalp and Al-Rfou, Rami",
  booktitle="ICRA", 
  title="Scaling Motion Forecasting Models with Ensemble Distillation", 
  year="2024"}
  
  @inproceedings{Nivash_SIMMF_2024_ICRA,
  author="Nivash, Vidyaa Krishnan and Qureshi, Ahmed H.",
  booktitle="ICRA", 
  title="SIMMF: Semantics-aware Interactive Multiagent Motion Forecasting for Autonomous Vehicle Driving", 
  year="2024"}
  
  @inproceedings{Sun_CausalAgents_2024_ICRA,
  author="Sun, Liting and Roelofs, Rebecca and Caine, Ben and Refaat, Khaled S. and Sapp, Ben and Ettinger, Scott and Chai, Wei",
  booktitle="ICRA", 
  title="CausalAgents: A Robustness Benchmark for Motion Forecasting", 
  year="2024"}
  
  @inproceedings{Mascaro_Robot_2024_ICRA,
  author="Mascaro, Esteve Valls and Yan, Yashuai and Lee, Dongheui",
  booktitle="ICRA", 
  title="Robot Interaction Behavior Generation based on Social Motion Forecasting for Human-Robot Interaction", 
  year="2024"}
  
  @inproceedings{Kung_looking_2024_ICRA,
  author="Kung, Yung-Chi and Zhang, Arthur and Wang, Junmin and Biswas, Joydeep",
  booktitle="ICRA", 
  title="Looking Inside Out: Anticipating Driver Intent From Videos", 
  year="2024"}
  
  @ARTICLE{Chen_Goal_2024_RAL,
  author="Chen, Xiaobo and Luo, Fengbo and Zhao, Feng and Ye, Qiaolin",
  journal="RAL", 
  title="Goal-Guided and Interaction-Aware State Refinement Graph Attention Network for Multi-Agent Trajectory Prediction", 
  year="2024",
  volume="9",
  number="1",
  pages="57-64",
  keywords="Trajectory;Predictive models;Feature extraction;Transformers;Generative adversarial networks;Behavioral sciences;Task analysis;Graph attention;multi-agent trajectory prediction;multimodal prediction;state refinement",
  doi="10.1109/LRA.2023.3331651"}
  
  @ARTICLE{Dax_Disentangled_2024_RAL,
  author="Dax, Victoria M. and Li, Jiachen and Sachdeva, Enna and Agarwal, Nakul and Kochenderfer, Mykel J.",
  journal="RAL", 
  title="Disentangled Neural Relational Inference for Interpretable Motion Prediction", 
  year="2024",
  volume="9",
  number="2",
  pages="1452-1459",
  keywords="Predictive models;Trajectory;Vehicle dynamics;Decoding;Data models;Computational modeling;Training;AI-Based Methods;Behavior-Based Systems;Probabilistic Inference",
  doi="10.1109/LRA.2023.3342554"}
  
  @ARTICLE{Knittel_DiPA_2023_RAL,
  author="Knittel, Anthony and Hawasly, Majd and Albrecht, Stefano V. and Redford, John and Ramamoorthy, Subramanian",
  journal="RAL", 
  title="DiPA: Probabilistic Multi-Modal Interactive Prediction for Autonomous Driving", 
  year="2023",
  volume="8",
  number="8",
  pages="4887-4894"}
  
  @ARTICLE{Feng_MacFormer_2023_RAL,
  author="Feng, Chen and Zhou, Hangning and Lin, Huadong and Zhang, Zhigang and Xu, Ziyao and Zhang, Chi and Zhou, Boyu and Shen, Shaojie",
  journal="RAL", 
  title="MacFormer: Map-Agent Coupled Transformer for Real-Time and Robust Trajectory Prediction", 
  year="2023",
  volume="8",
  number="10",
  pages="6795-6802"}
  
  @ARTICLE{Xu_Context_2023_RAL,
  author="Xu, Pei and Hayet, Jean-Bernard and Karamouzas, Ioannis",
  journal="RAL", 
  title="Context-Aware Timewise VAEs for Real-Time Vehicle Trajectory Prediction", 
  year="2023",
  volume="8",
  number="9",
  pages="5440-5447"}
  
  @inproceedings{Si_Trajectory_2024_ICRA,
  author="Si, Jinge and Li, Bin and Xu, Yongkang and Wang, Liang and Deng, Chencheng and Wang, Shoukun and Wang, Junzheng",
  booktitle="ICRA", 
  title="Trajectory-prediction-based Dynamic Tracking of a UGV to a Moving Target under Multi-disturbed Conditions", 
  year="2024"}
  
  @ARTICLE{Salzmann_Robots_2023_RAL,
  author="Salzmann, Tim and Chiang, Hao-Tien Lewis and Ryll, Markus and Sadigh, Dorsa and Parada, Carolina and Bewley, Alex",
  journal="RAL", 
  title="Robots That Can See: Leveraging Human Pose for Trajectory Prediction", 
  year="2023",
  volume="8",
  number="11",
  pages="7090-7097"}
  
  @inproceedings{Xu_Towards_2024_ICRA,
  author="Xu, Yihong and Chambon, Loïck and Zablocki, Éloi and Chen, Mickaël and Alahi, Alexandre and Cord, Matthieu and Pérez, Patrick",
  booktitle="ICRA", 
  title="Towards Motion Forecasting with Real-World Perception Inputs: Are End-to-End Approaches Competitive?", 
  year="2024"}
  
  @ARTICLE{Atkins_MIntNet_2023_RAL,
  author="Atkins, John and Lee, Hyunglae",
  journal="RAL", 
  title="MIntNet: Rapid Motion Intention Forecasting of Coupled Human-Robot Systems With Simulation-to-Real Autoregressive Neural Networks", 
  year="2023",
  volume="8",
  number="10",
  pages="6363-6370"}
  
  @ARTICLE{Liu_STAGP_2024_RAL,
  author="Liu, Zhening and He, Li and Yuan, Liang and Lv, Kai and Zhong, Runhao and Chen, Yaohua",
  journal="RAL", 
  title="STAGP: Spatio-Temporal Adaptive Graph Pooling Network for Pedestrian Trajectory Prediction", 
  year="2024",
  volume="9",
  number="3",
  pages="2001-2007"}
  
  @ARTICLE{Feng_Multimodal_2024_RAL,
  author="Feng, Ang and Qiu, Ruiqi and Wang, Jinglong and Gong, Jun and Yi, Yang and Dong, Mingtao",
  journal="RAL", 
  title="Multimodal Forward Generation Transformer Network for Inconspicuous Pedestrian Trajectory Prediction", 
  year="2024",
  volume="9",
  number="3",
  pages="2224-2231"}
  
  @ARTICLE{Eltouny_DETGN_2024_RAL,
  author="Eltouny, Kareem A. and Liu, Wansong and Tian, Sibo and Zheng, Minghui and Liang, Xiao",
  journal="RAL", 
  title="DE-TGN: Uncertainty-Aware Human Motion Forecasting Using Deep Ensembles", 
  year="2024",
  volume="9",
  number="3",
  pages="2192-2199"}
  
  @ARTICLE{Ferenczi_MotionPreceiver_2024_RAL,
  author="Ferenczi, Bryce and Burke, Michael and Drummond, Tom",
  journal="RAL", 
  title="MotionPerceiver: Real-Time Occupancy Forecasting for Embedded Systems", 
  year="2024",
  volume="9",
  number="3",
  pages="2822-2829"}
  
  @ARTICLE{Zhang_SIMPL_2024_RAL,
  author="Zhang, Lu and Li, Peiliang and Liu, Sikang and Shen, Shaojie",
  journal="RAL", 
  title="SIMPL: A Simple and Efficient Multi-Agent Motion Prediction Baseline for Autonomous Driving", 
  year="2024",
  volume="9",
  number="4",
  pages="3767-3774"}
  
  @ARTICLE{Boekema_Multi_2024_RAL,
  author="Boekema, Hidde J-H. and Martens, Bruno K.W. and Kooij, Julian F.P. and Gavrila, Dariu M.",
  journal="RAL", 
  title="Multi-Class Trajectory Prediction in Urban Traffic Using the View-of-Delft Prediction Dataset", 
  year="2024",
  volume="9",
  number="5",
  pages="4806-4813"}
  
  @ARTICLE{Tian_TransFusion_2024_RAL,
  author="Tian, Sibo and Zheng, Minghui and Liang, Xiao",
  journal="RAL", 
  title="TransFusion: A Practical and Effective Transformer-Based Diffusion Model for 3D Human Motion Prediction", 
  year="2024",
  volume="9",
  number="7",
  pages="6232-6239"}
  
  @ARTICLE{Almeida_Trajectory_2024_RAL,
  author="de Almeida, Tiago Rodrigues and Zhu, Yufei and Rudenko, Andrey and Kucner, Tomasz P. and Stork, Johannes A. and Magnusson, Martin and Lilienthal, Achim J.",
  journal="RAL", 
  title="Trajectory Prediction for Heterogeneous Agents: A Performance Analysis on Small and Imbalanced Datasets", 
  year="2024",
  volume="9",
  number="7",
  pages="6576-6583"}
  
  @ARTICLE{Sun_SemanticFormer_2024_RAL,
  author="Sun, Zhigang and Wang, Zixu and Halilaj, Lavdim and Luettin, Juergen",
  journal="RAL", 
  title="SemanticFormer: Holistic and Semantic Traffic Scene Representation for Trajectory Prediction Using Knowledge Graphs", 
  year="2024",
  volume="9",
  number="9",
  pages="7381-7388"}

@ARTICLE{Zhou_Dynamic_2023_RAL,
  author="Zhou, Zhou and Huang, Gang and Su, Zhaoxin and Li, Yongfu and Hua, Wei",
  journal="RAL", 
  title="Dynamic Attention-Based CVAE-GAN for Pedestrian Trajectory Prediction", 
  year="2023",
  volume="8",
  number="2",
  pages="704-711"}
  
  @ARTICLE{Kim_Diverse_2023_RAL,
  author="Kim, Sanmin and Jeon, Hyeongseok and Choi, Jun Won and Kum, Dongsuk",
  journal="RAL", 
  title="Diverse Multiple Trajectory Prediction Using a Two-Stage Prediction Network Trained With Lane Loss", 
  year="2023",
  volume="8",
  number="4",
  pages="2038-2045"}
  
  @ARTICLE{Vishnu_Improving_2023_RAL,
  author="Vishnu, Chalavadi and Abhinav, Vineel and Roy, Debaditya and Mohan, C. Krishna and Babu, Ch. Sobhan",
  journal="RAL", 
  title="Improving Multi-Agent Trajectory Prediction Using Traffic States on Interactive Driving Scenarios", 
  year="2023",
  volume="8",
  number="5",
  pages="2708-2715"}
  
  @ARTICLE{Bhujel_Disentangling_2023_RAL,
  author="Bhujel, Niraj and Yau, Wei-Yun",
  journal="RAL", 
  title="Disentangling Crowd Interactions for Pedestrians Trajectory Prediction", 
  year="2023",
  volume="8",
  number="5",
  pages="3078-3085"}
  
  @ARTICLE{Gao_Dynamic_2023_RAL,
  author="Gao, Xing and Jia, Xiaogang and Li, Yikang and Xiong, Hongkai",
  journal="RAL", 
  title="Dynamic Scenario Representation Learning for Motion Forecasting With Heterogeneous Graph Convolutional Recurrent Networks", 
  year="2023",
  volume="8",
  number="5",
  pages="2946-2953"}
  
  @ARTICLE{Mo_Map_2023_RAL,
  author="Mo, Xiaoyu and Xing, Yang and Liu, Haochen and Lv, Chen",
  journal="RAL", 
  title="Map-Adaptive Multimodal Trajectory Prediction Using Hierarchical Graph Neural Networks", 
  year="2023",
  volume="8",
  number="6",
  pages="3685-3692"}
  
  @ARTICLE{Luo_PCPNet_2023_RAL,
  author="Luo, Zhen and Ma, Junyi and Zhou, Zijie and Xiong, Guangming",
  journal="RAL", 
  title="PCPNet: An Efficient and Semantic-Enhanced Transformer Network for Point Cloud Prediction", 
  year="2023",
  volume="8",
  number="7",
  pages="4267-4274"}
  
  @ARTICLE{Mozaffari_Multimodal_2023_RAL,
  author="Mozaffari, Sajjad and Sormoli, Mreza Alipour and Koufos, Konstantinos and Dianati, Mehrdad",
  journal="RAL", 
  title="Multimodal Manoeuvre and Trajectory Prediction for Automated Driving on Highways Using Transformer Networks", 
  year="2023",
  volume="8",
  number="10",
  pages="6123-6130"}
  
  @ARTICLE{Sun_See_2020_RAL,
  author="Sun, Yuxiang and Zuo, Weixun and Liu, Ming",
  journal="RAL", 
  title="See the Future: A Semantic Segmentation Network Predicting Ego-Vehicle Trajectory With a Single Monocular Camera", 
  year="2020",
  volume="5",
  number="2",
  pages="3066-3073"}
  
  @ARTICLE{Anderson_Off_2020_RAL,
  author="Anderson, Cyrus and Vasudevan, Ram and Johnson-Roberson, Matthew",
  journal="RAL", 
  title="Off the Beaten Sidewalk: Pedestrian Prediction in Shared Spaces for Autonomous Vehicles", 
  year="2020",
  volume="5",
  number="4",
  pages="6892-6899"}
  
  @ARTICLE{Ivanovic_Multimodal_2021_RAL,
  author="Ivanovic, Boris and Leung, Karen and Schmerling, Edward and Pavone, Marco",
  journal="RAL", 
  title="Multimodal Deep Generative Models for Trajectory Prediction: A Conditional Variational Autoencoder Approach", 
  year="2021",
  volume="6",
  number="2",
  pages="295-302"}
  
  @ARTICLE{Huang_Long_2021_RAL,
  author="Huang, Zhe and Hasan, Aamir and Shin, Kazuki and Li, Ruohua and Driggs-Campbell, Katherine",
  journal="RAL", 
  title="Long-Term Pedestrian Trajectory Prediction Using Mutable Intention Filter and Warp LSTM", 
  year="2021",
  volume="6",
  number="2",
  pages="542-549"}
  
  @ARTICLE{Davchev_Learning_2021_RAL,
  author="Davchev, Todor and Burke, Michael and Ramamoorthy, Subramanian",
  journal="RAL", 
  title="Learning Structured Representations of Spatial and Interactive Dynamics for Trajectory Prediction in Crowded Scenes", 
  year="2021",
  volume="6",
  number="2",
  pages="707-714"}
  
  @ARTICLE{Habibi_Human_2021_RAL,
  author="Habibi, Golnaz and How, Jonathan P.",
  journal="RAL", 
  title="Human Trajectory Prediction Using Similarity-Based Multi-Model Fusion", 
  year="2021",
  volume="6",
  number="2",
  pages="715-722"}
  
  @ARTICLE{Li_Vehicle_2021_RAL,
  author="Li, Xiao and Rosman, Guy and Gilitschenski, Igor and Vasile, Cristian-Ioan and DeCastro, Jonathan A. and Karaman, Sertac and Rus, Daniela",
  journal="RAL", 
  title="Vehicle Trajectory Prediction Using Generative Adversarial Network With Temporal Logic Syntax Tree Features", 
  year="2021",
  volume="6",
  number="2",
  pages="3459-3466"}
  
  @ARTICLE{Minoura_Crowd_2021_RAL,
  author="Minoura, Hiroaki and Yonetani, Ryo and Nishimura, Mai and Ushiku, Yoshitaka",
  journal="RAL", 
  title="Crowd Density Forecasting by Modeling Patch-Based Dynamics", 
  year="2021",
  volume="6",
  number="2",
  pages="287-294"}
  
  @ARTICLE{Weng_PTP_2021_RAL,
  author="Weng, Xinshuo and Yuan, Ye and Kitani, Kris",
  journal="RAL", 
  title="PTP: Parallelized Tracking and Prediction With Graph Neural Networks and Diversity Sampling", 
  year="2021",
  volume="6",
  number="3",
  pages="4640-4647"}
  
  @ARTICLE{Greer_Trajectory_2021_RAL,
  author="Greer, Ross and Deo, Nachiket and Trivedi, Mohan",
  journal="RAL", 
  title="Trajectory Prediction in Autonomous Driving With a Lane Heading Auxiliary Loss", 
  year="2021",
  volume="6",
  number="3",
  pages="4907-4914"}
  
  @ARTICLE{Ma_Continual_2021_RAL,
  author="Ma, Hengbo and Sun, Yaofeng and Li, Jiachen and Tomizuka, Masayoshi and Choi, Chiho",
  journal="RAL", 
  title="Continual Multi-Agent Interaction Behavior Prediction With Conditional Generative Memory", 
  year="2021",
  volume="6",
  number="4",
  pages="8410-8417"}
  
  @ARTICLE{Cheng_Long_2022_RAL,
  author="Cheng, Yujiao and Tomizuka, Masayoshi",
  journal="RAL", 
  title="Long-Term Trajectory Prediction of the Human Hand and Duration Estimation of the Human Action", 
  year="2022",
  volume="7",
  number="1",
  pages="247-254"}
  
  @ARTICLE{Sun_Unified_2022_RAL,
  author="Sun, Jianhua and Wang, Zehao and Li, Jiefeng and Lu, Cewu",
  journal="RAL", 
  title="Unified and Fast Human Trajectory Prediction Via Conditionally Parameterized Normalizing Flow", 
  year="2022",
  volume="7",
  number="2",
  pages="842-849"}
  
  @ARTICLE{Huang_Learning_2022_RAL,
  author="Huang, Zhe and Li, Ruohua and Shin, Kazuki and Driggs-Campbell, Katherine",
  journal="RAL", 
  title="Learning Sparse Interaction Graphs of Partially Detected Pedestrians for Trajectory Prediction", 
  year="2022",
  volume="7",
  number="2",
  pages="1198-1205"}
  
  
  @ARTICLE{Wan_Learn_2022_RAL,
  author="Wan, Weilin and Yang, Lei and Liu, Lingjie and Zhang, Zhuoying and Jia, Ruixing and Choi, Yi-King and Pan, Jia and Theobalt, Christian and Komura, Taku and Wang, Wenping",
  journal="RAL", 
  title="Learn to Predict How Humans Manipulate Large-Sized Objects From Interactive Motions", 
  year="2022",
  volume="7",
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  pages="4702-4709"}
  
  @ARTICLE{Knoedler_Improving_2022_RAL,
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  title="Improving Pedestrian Prediction Models With Self-Supervised Continual Learning", 
  year="2022",
  volume="7",
  number="2",
  pages="4781-4788"}
  
  @ARTICLE{Mahjourian_Occupancy_2022_RAL,
  author="Mahjourian, Reza and Kim, Jinkyu and Chai, Yuning and Tan, Mingxing and Sapp, Ben and Anguelov, Dragomir",
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  pages="5639-5646"}
  
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  year="2021"}

@ARTICLE{Brscic_Person_2013_THMS,
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@inproceedings{Sampieri_Pose_2022_ECCV,
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  author="Sampieri, Alessio and di Melendugno, Guido Maria D’Amely and Avogaro, Andrea and Cunico, Federico and Setti, Francesco and Skenderi, Geri and Cristani, Marco and Galasso, Fabio",
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  year="2022"}

@ARTICLE{Palffy_Multi_2022_RAL,
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  title="Multi-Class Road User Detection With 3+1D Radar in the View-of-Delft Dataset", 
  year="2022",
  volume="7",
  number="2",
  pages="4961-4968"}
  
  @article{Schreiter_Magni_2022_arxiv,
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  year="2022"}  

@inproceedings{Roy_Defining_2020_ITSC,
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  booktitle="ITSC",
  year="2020"}

@inproceedings{Yang_Top_2019_IV,
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  title="Top-view Trajectories: A Pedestrian Dataset of Vehicle-Crowd Interaction from Controlled Experiments and Crowded Campus", 
  year="2019"}
  
  @inproceedings {Fang_Locality_2019_ICME,
author = "Y. Fang and B. Zhan and W. Cai and S. Gao and B. Hu",
booktitle = "ICME",
title = "Locality-Constrained Spatial Transformer Network for Video Crowd Counting",
year = "2019"}